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Mediated Identities in the Futures of Place: Emerging Practices and Spatial Cultures (Springer Series in Adaptive Environments)
by Lakshmi Priya Rajendran NezHapi Dellé OdeleyeThis book examines the emerging problems and opportunities that are posed by media innovations, spatial typologies, and cultural trends in (re)shaping identities within the fast-changing milieus of the early 21st Century.Addressing a range of social and spatial scales and using a phenomenological frame of reference, the book draws on the works of Heidegger, Merleau-Ponty and Don Hide to bridge the seemingly disparate, yet related theoretical perspectives across a number of disciplines. Various perspectives are put forward from media, human geography, cultural studies, technologies, urban design and architecture etc. and looked at thematically from networked culture and digital interface (and other) perspectives.The book probes the ways in which new digital media trends affect how and what we communicate, and how they drive and reshape our everyday practices. This mediatization of space, with fast evolving communication platforms and applications of digital representations, offers challenges to our notions of space, identity and culture and the book explores the diverse yet connected levels of technology and people interaction.
Mediated Intercultural Communication in a Digital Age (Routledge Research in Communication Studies)
by Ahmet Atay Margaret U. D'SilvaThis book focuses on mediated intercultural communication in the context of globalization. Analyzing social and traditional media using qualitative, interpretive, and critical and cultural perspectives, contributors engage with diverse topics - ranging from hybrid identities in different communities, to journalistic collaborations in the global media landscape. In addition, the authors also examine the placeless and borderless communities of diaspora members, their transnational identities, and the social media stories that shape and are shaped by them.
Mediating Nature: The Role of Technology in Ecological Literacy (Routledge Environmental Literature, Culture and Media)
by Sidney I. Dobrin Sean MoreyMediating Nature considers how technology acts as a mediating device in the construction and circulation of images that inform how we see and know nature. Scholarship in environmental communication has focused almost exclusively on verbal rather than visual rhetoric, and this book engages ecocritical and ecocompositional inquiry to shift focus onto the making of images. Contributors to this dynamic collection focus their efforts on the intersections of digital media and environmental/ecological thinking. Part of the book’s larger argument is that analysis of mediations of nature must develop more critical tools of analysis toward the very mediating technologies that produce such media. That is, to truly understand mediations of nature, one needs to understand the creation and production of those mediations, right down to the algorithms, circuit boards, and power sources that drive mediating technologies. Ultimately, Mediating Nature contends that ecological literacy and environmental politics are inseparable from digital literacies and visual rhetorics. The book will be of interest to scholars and students working in the fields of Ecocriticism, Ecocomposition, Media Ecology, Visual Rehtoric, and Digital Literacy Studies.
Mediatization of Politics
by Frank Esser Jesper Str�mb�ckThe first book-long analysis of the 'mediatization of politics', this volume aims to understand the transformations of the relationship between media and politics in recent decades, and explores how growing media autonomy, journalistic framing, media populism and new media technologies affect democratic processes.
Mediatized Religion in Asia: Studies on Digital Media and Religion (Routledge Research in Digital Media and Culture in Asia)
by Kerstin Radde-Antweiler Xenia ZeilerThis edited volume discusses mediatized religion in Asia, examining the intensity and variety of constructions and processes related to digital media and religion in Asia today. Individual chapters present case studies from various regions and religious traditions in Asia, critically discussing the data collected in light of current mediatization theories. By directing the study to the geographical, cultural and religious contexts specific to Asia, it also provides new material for the theoretical discussion of the pros and cons of the concept mediatization, among other things interrogating whether this concept is useful in non-’Western’ contexts."
The Mediatrician's Guide: A Joyful Approach to Raising Healthy, Smart, Kind Kids in a Screen-Saturated World
by Michael Rich, MD, MPHGain the confidence you need to raise a child well in the digital age.In this positive, science-based approach, Dr. Michael Rich addresses your questions and concerns about your childrens&’ screen time and media use. The Mediatrician&’s Guide empowers you to guide your family toward smart and healthy digital choices.Known as the &“Mediatrician&” due to his acclaimed work as a pediatrician, child health researcher, and children&’s media specialist, Dr. Rich presents a compassionate and encouraging look at the reality of growing up in a screen-saturated world. You won&’t find fearmongering here—just accessible explanations, case studies, and practical tips to help your kids thrive in a technology-rich environment and emerge as happy, well-informed, empathetic adults.Features include:Ask the Mediatrician: Questions and answers based on Dr. Rich&’s long-running advice column and podcastMedia Rx: Prescriptive content based on insights from the Digital Wellness Lab and the Clinic for Interactive Media and Internet DisordersYou Can: Straightforward instructions for what you can do to guide your child in the digital landscapeDigital Wellness Primer: A one-stop resource for actionable advice that you can customize for your family&’s specific needsBacked by evidence as well as decades of professional and personal practice, The Mediatrican's Guide will give you peace of mind and your kids much-needed tools to navigate the digital environment in a way that reduces the risks to their physical and mental health and their emotional and social development..&“A caring, wise, and joyful guide to the possibilities and the perils of our increasingly more digital existence.&”—Marlo Thomas, activist, actor, and author&“This book is a must-have and will soon become your best friend, full of daily tips and long-lasting wisdom.&”—Sanjay Gupta, MD,associate professor of neurosurgery, Emory, and chief medical correspondent, CNN
MediaWiki: Wikipedia and Beyond (Wikipedia and Beyond)
by Daniel J. Barrett"A good book! It's a nice overview of wiki editing and administration, with pointers to handy extensions and further online documentation."-Brion Vibber, Chief Technical Officer, Wikimedia Foundation "This book is filled with practical knowledge based on experience. It's not just spouting some party line."-Rob Church, a developer of MediaWikiMediaWiki is the world's most popular wiki platform, the software that runs Wikipedia and thousands of other websites. Though it appears simple to use at first glance, MediaWiki has extraordinarily powerful and deep capabilities for managing and organizing knowledge. In corporate environments, MediaWiki can transform the way teams write and collaborate.This comprehensive book covers MediaWiki's rich (and sometimes subtle) features, helping you become a wiki expert in no time. You'll learn how to:Find your way around by effective searching and browsingCreate and edit articles, categories, and user preferencesUse advanced features for authors, such as templates, dynamic lists, logical parser functions, and RSS, to organize and maintain large numbers of articlesInstall and run your own wiki, and configure its look and behaviorDevelop custom wiki features, called extensions, with the PHP programming language and MySQL databaseThis book also provides special guidance for creating successful corporate wikis. For beginners who want to create or work on collaborative, community-driven websites with this platform, MediaWiki is the essential one-stop guide."I was a MediaWiki newbie before reading this book. Now, many aspects of the platform that were murky before are crystal clear."-JP Vossen, author of O'Reilly's Bash Cookbook
MediaWiki 1.1 Beginner's Guide
by Jeff Orlof Mizanur RahmanThis book was written with the beginner in mind. It walks you through step-by-step exercises and makes use of illustrations to show exactly what is going on in each. You will be taken through exercises that not only help you to build a solid, secure wiki, but provide a foundation on which you can build and challenge yourself to learn even more. Throughout the book, you will follow along as a wiki dedicated to free/open source software built from the ground up. If you are a Web Designer, IT Administrator or Executive, or a Programmer and wish to gain a solid foundation in the MediaWiki software application, then this book is for you.
MediaWiki Administrators’ Tutorial Guide
by Mizanur RahmanThe power that makes MediaWiki so popular also makes it daunting for many would-be administrators. This book puts MediaWiki in the hands of busy administrators with no time for trial and error, enabling them to get their site up and running quickly and easily. A fun example that runs through the book holds everything together as you see how a real site develops and improves as more and more features of MediaWiki are used. This book is for competent computer users who want to run MediaWiki. They should have some knowledge of HTML and have used a wiki before. No PHP knowledge is required for most of the book, although some chapters at the end include some PHP code.
MediaWiki Skins Design
by Richard CarterThis book takes you step by step through customizing your MediaWiki skin. It is full of practical examples of MediaWiki skinning techniques, and clear explanations of how MediaWiki skinning works. The early chapters go through each element of a MediaWiki design, showing the CSS and PHP tags necessary to customize MediaWiki's appearance. Later chapters look at ways to further enhance your design using extra graphics, JavaScript, AJAX, dynamic CSS, and more. This book is aimed at web designers or wiki administrators who want to customize the look of MediaWiki with custom skins. The reader will already have a MediaWiki installation that they are targeting with their skin. It might be their own installation, or they might be a designer developing a custom look for a client. The book does not cover setting up or using MediaWiki, except features specifically related to skinning. The book assumes that you are familiar with CSS and HTML, but no prior knowledge of PHP is required.
Medical Big Data and Internet of Medical Things: Advances, Challenges and Applications
by Aboul Ella Hassanien, Nilanjan Dey and Surekha BorraBig data and the Internet of Things (IoT) play a vital role in prediction systems used in biological and medical applications, particularly for resolving issues related to disease biology at different scales. Modelling and integrating medical big data with the IoT helps in building effective prediction systems for automatic recommendations of diagnosis and treatment. The ability to mine, process, analyse, characterize, classify and cluster a variety and wide volume of medical data is a challenging task. There is a great demand for the design and development of methods dealing with capturing and automatically analysing medical data from imaging systems and IoT sensors. Addressing analytical and legal issues, and research on integration of big data analytics with respect to clinical practice and clinical utility, architectures and clustering techniques for IoT data processing, effective frameworks for removal of misclassified instances, practicality of big data analytics, methodological and technical issues, potential of Hadoop in managing healthcare data is the need of the hour. This book integrates different aspects used in the field of healthcare such as big data, IoT, soft computing, machine learning, augmented reality, organs on chip, personalized drugs, implantable electronics, integration of bio-interfaces, and wearable sensors, devices, practical body area network (BAN) and architectures of web systems. Key Features: Addresses various applications of Medical Big Data and Internet of Medical Things in real time environment Highlights recent innovations, designs, developments and topics of interest in machine learning techniques for classification of medical data Provides background and solutions to existing challenges in Medical Big Data and Internet of Medical Things Provides optimization techniques and programming models to parallelize the computationally intensive tasks in data mining of medical data Discusses interactions, advantages, limitations, challenges and future perspectives of IoT based remote healthcare monitoring systems. Includes data privacy and security analysis of cryptography methods for the Web of Medical Things (WoMT) Presents case studies on the next generation medical chair, electronic nose and pill cam are also presented.
Medical Computer Vision: Algorithms for Big Data
by Bjoern Menze Georg Langs Albert Montillo Michael Kelm Henning Müller Shaoting Zhang Weidong Cai Dimitris MetaxasThis book constitutes the thoroughly refereed prost-workshop proceedings of the International Workshop on Medical Computer Vision: Algorithms for Big Data, MCS 2015, held in Munich, Germany, in October 2015, held in conjunction with the 18th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2015. The workshop shows well the current trends and tendencies in medical computer vision and how the techniques can be used in clinical work and on large data sets. It is organized in the following sections: predicting disease; atlas exploitation and avoidance; machine learning based analyses; advanced methods for image analysis; poster sessions. The 10 full, 5 short, 1 invited papers and one overview paper presented in this volume were carefully reviewed and selected from 22 submissions.
Medical Computer Vision: Algorithms for Big Data
by Bjoern Menze Georg Langs Albert Montillo Michael Kelm Henning Müller Shaoting Zhang Weidong Tom Cai Dimitris MetaxasThis book constitutes the thoroughly refereed post-workshop proceedings of the International Workshop on Medical Computer Vision: Algorithms for Big Data, MCV 2014, held in Cambridge, MA, USA, in September 2019, in conjunction with the 17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014. The one-day workshop aimed at exploring the use of modern computer vision technology and "big data" algorithms in tasks such as automatic segmentation and registration, localization of anatomical features and detection of anomalies emphasizing questions of harvesting, organizing and learning from large-scale medical imaging data sets and general-purpose automatic understanding of medical images. The 18 full and 1 short papers presented in this volume were carefully reviewed and selected from 30 submission.
Medical Computer Vision. Large Data in Medical Imaging: Third International MICCAI Workshop, MCV 2013, Nagoya, Japan, September 26, 2013, Revised Selected Papers (Lecture Notes in Computer Science #8331)
by Bjoern Menze, Georg Langs, Albert Montillo, Michael Kelm, Henning Müller and Zhuowen TuThis book constitutes the thoroughly refereed post-workshop proceedings of the Third International Workshop on Medical Computer Vision, MCV 2013, held in Nagoya, Japan, in September 2013 in conjunction with the 16th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013. The 7 revised full papers and 12 poster papers presented were selected from 25 submissions. They have been organized in topical sections on registration and visualization, segmentation, detection and localization, and features and retrieval. In addition, the volume contains two invited papers describing segmentation task and data set of the VISCERAL benchmark challenge.
A Medical Educator's Guide to Thinking Critically about Randomised Controlled Trials: Deconstructing the "Gold Standard"
by Margaret MacDougallDrawing on the statistical and philosophical expertise of its authors, this book is designed to improve understanding and use of randomised controlled trials (RCTs) among health professionals. It is intended for use primarily by medical educators involved in teaching statistics and evidence-based medicine (EBM) to medical students, junior doctors and other health professionals. However, each of the chapters serves a wider range of interests, including the practical needs of physicians in interpreting research evidence to support clinical decision making and the teaching needs of philosophers of medicine who want to more fully appreciate how RCTs work in practice and provide engaging examples for their students. Rather than compete with the proliferating methodological literature on RCT designs, this book focuses on cultivating a healthy skepticism among developing health professionals to support critical appraisal of their own and published work on RCTs at a fundamental level, including through a more informed understanding of the place of subgroup analyses in sound statistical inference. Management of the positive predictive value in the statistical analysis of RCT findings is included as an important topic for contemporary medical curricula. In comparing RCTs with non-randomised studies, a search for empirical evidence for the superiority of RCTs is initiated, pointing to the need for further work to confirm what form this evidence should take.Medical educators will find a wealth of reasons to encourage their students to think more critically about how the RCT operates in practice as a gold standard.
Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017: 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part III (Lecture Notes in Computer Science #10435)
by Pierre Jannin Maxime Descoteaux Lena Maier-Hein Alfred Franz D. Louis Collins Simon DuchesneThe three-volume set LNCS 10433, 10434, and 10435 constitutes the refereed proceedings of the 20th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2017, held in Quebec City, Canada, in September 2017. The 255 revised full papers presented were carefully reviewed and selected from 800 submissions in a two-phase review process. The papers have been organized in the following topical sections: Part I: atlas and surface-based techniques; shape and patch-based techniques; registration techniques, functional imaging, connectivity, and brain parcellation; diffusion magnetic resonance imaging (dMRI) and tensor/fiber processing; and image segmentation and modelling. Part II: optical imaging; airway and vessel analysis; motion and cardiac analysis; tumor processing; planning and simulation for medical interventions; interventional imaging and navigation; and medical image computing. Part III: feature extraction and classification techniques; and machine learning in medical image computing.
Medical Image Computing and Computer Assisted Intervention − MICCAI 2017: 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part I (Lecture Notes in Computer Science #10433)
by Pierre Jannin Maxime Descoteaux Lena Maier-Hein Alfred Franz D. Louis Collins Simon DuchesneThe three-volume set LNCS 10433, 10434, and 10435 constitutes the refereed proceedings of the 20th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2017, held in Quebec City, Canada, in September 2017. The 255 revised full papers presented were carefully reviewed and selected from 800 submissions in a two-phase review process. The papers have been organized in the following topical sections: Part I: atlas and surface-based techniques; shape and patch-based techniques; registration techniques, functional imaging, connectivity, and brain parcellation; diffusion magnetic resonance imaging (dMRI) and tensor/fiber processing; and image segmentation and modelling. Part II: optical imaging; airway and vessel analysis; motion and cardiac analysis; tumor processing; planning and simulation for medical interventions; interventional imaging and navigation; and medical image computing. Part III: feature extraction and classification techniques; and machine learning in medical image computing.
Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017: 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part II (Lecture Notes in Computer Science #10434)
by Pierre Jannin Maxime Descoteaux Lena Maier-Hein Alfred Franz D. Louis Collins Simon DuchesneThe three-volume set LNCS 10433, 10434, and 10435 constitutes the refereed proceedings of the 20th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2017, held in Quebec City, Canada, in September 2017. The 255 revised full papers presented were carefully reviewed and selected from 800 submissions in a two-phase review process. The papers have been organized in the following topical sections: Part I: atlas and surface-based techniques; shape and patch-based techniques; registration techniques, functional imaging, connectivity, and brain parcellation; diffusion magnetic resonance imaging (dMRI) and tensor/fiber processing; and image segmentation and modelling. Part II: optical imaging; airway and vessel analysis; motion and cardiac analysis; tumor processing; planning and simulation for medical interventions; interventional imaging and navigation; and medical image computing. Part III: feature extraction and classification techniques; and machine learning in medical image computing.
Medical Image Computing and Computer Assisted Intervention – MICCAI 2018: 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part II (Lecture Notes in Computer Science #11071)
by Gabor Fichtinger Carlos Alberola-López Christos Davatzikos Julia A. Schnabel Alejandro F. FrangiThe four-volume set LNCS 11070, 11071, 11072, and 11073 constitutes the refereed proceedings of the 21st International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2018, held in Granada, Spain, in September 2018. The 373 revised full papers presented were carefully reviewed and selected from 1068 submissions in a double-blind review process. The papers have been organized in the following topical sections: Part I: Image Quality and Artefacts; Image Reconstruction Methods; Machine Learning in Medical Imaging; Statistical Analysis for Medical Imaging; Image Registration Methods. Part II: Optical and Histology Applications: Optical Imaging Applications; Histology Applications; Microscopy Applications; Optical Coherence Tomography and Other Optical Imaging Applications. Cardiac, Chest and Abdominal Applications: Cardiac Imaging Applications: Colorectal, Kidney and Liver Imaging Applications; Lung Imaging Applications; Breast Imaging Applications; Other Abdominal Applications. Part III: Diffusion Tensor Imaging and Functional MRI: Diffusion Tensor Imaging; Diffusion Weighted Imaging; Functional MRI; Human Connectome. Neuroimaging and Brain Segmentation Methods: Neuroimaging; Brain Segmentation Methods.Part IV: Computer Assisted Intervention: Image Guided Interventions and Surgery; Surgical Planning, Simulation and Work Flow Analysis; Visualization and Augmented Reality. Image Segmentation Methods: General Image Segmentation Methods, Measures and Applications; Multi-Organ Segmentation; Abdominal Segmentation Methods; Cardiac Segmentation Methods; Chest, Lung and Spine Segmentation; Other Segmentation Applications.
Medical Image Computing and Computer Assisted Intervention – MICCAI 2018: 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part I (Lecture Notes in Computer Science #11070)
by Alejandro F. Frangi Gabor Fichtinger Julia A. Schnabel Christos Davatzikos Carlos Alberola-LópezThe four-volume set LNCS 11070, 11071, 11072, and 11073 constitutes the refereed proceedings of the 21st International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2018, held in Granada, Spain, in September 2018. The 373 revised full papers presented were carefully reviewed and selected from 1068 submissions in a double-blind review process. The papers have been organized in the following topical sections: Part I: Image Quality and Artefacts; Image Reconstruction Methods; Machine Learning in Medical Imaging; Statistical Analysis for Medical Imaging; Image Registration Methods. Part II: Optical and Histology Applications: Optical Imaging Applications; Histology Applications; Microscopy Applications; Optical Coherence Tomography and Other Optical Imaging Applications. Cardiac, Chest and Abdominal Applications: Cardiac Imaging Applications: Colorectal, Kidney and Liver Imaging Applications; Lung Imaging Applications; Breast Imaging Applications; Other Abdominal Applications. Part III: Diffusion Tensor Imaging and Functional MRI: Diffusion Tensor Imaging; Diffusion Weighted Imaging; Functional MRI; Human Connectome. Neuroimaging and Brain Segmentation Methods: Neuroimaging; Brain Segmentation Methods.Part IV: Computer Assisted Intervention: Image Guided Interventions and Surgery; Surgical Planning, Simulation and Work Flow Analysis; Visualization and Augmented Reality. Image Segmentation Methods: General Image Segmentation Methods, Measures and Applications; Multi-Organ Segmentation; Abdominal Segmentation Methods; Cardiac Segmentation Methods; Chest, Lung and Spine Segmentation; Other Segmentation Applications.
Medical Image Computing and Computer Assisted Intervention – MICCAI 2018: 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part IV (Lecture Notes in Computer Science #11073)
by Alejandro F. Frangi Julia A. Schnabel Christos Davatzikos Carlos Alberola-López Gabor FichtingerThe four-volume set LNCS 11070, 11071, 11072, and 11073 constitutes the refereed proceedings of the 21st International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2018, held in Granada, Spain, in September 2018. The 373 revised full papers presented were carefully reviewed and selected from 1068 submissions in a double-blind review process. The papers have been organized in the following topical sections: Part I: Image Quality and Artefacts; Image Reconstruction Methods; Machine Learning in Medical Imaging; Statistical Analysis for Medical Imaging; Image Registration Methods. Part II: Optical and Histology Applications: Optical Imaging Applications; Histology Applications; Microscopy Applications; Optical Coherence Tomography and Other Optical Imaging Applications. Cardiac, Chest and Abdominal Applications: Cardiac Imaging Applications: Colorectal, Kidney and Liver Imaging Applications; Lung Imaging Applications; Breast Imaging Applications; Other Abdominal Applications. Part III: Diffusion Tensor Imaging and Functional MRI: Diffusion Tensor Imaging; Diffusion Weighted Imaging; Functional MRI; Human Connectome. Neuroimaging and Brain Segmentation Methods: Neuroimaging; Brain Segmentation Methods.Part IV: Computer Assisted Intervention: Image Guided Interventions and Surgery; Surgical Planning, Simulation and Work Flow Analysis; Visualization and Augmented Reality. Image Segmentation Methods: General Image Segmentation Methods, Measures and Applications; Multi-Organ Segmentation; Abdominal Segmentation Methods; Cardiac Segmentation Methods; Chest, Lung and Spine Segmentation; Other Segmentation Applications.
Medical Image Computing and Computer Assisted Intervention – MICCAI 2018: 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part III (Lecture Notes in Computer Science #11072)
by Alejandro F. Frangi Julia A. Schnabel Christos Davatzikos Carlos Alberola-López Gabor FichtingerThe four-volume set LNCS 11070, 11071, 11072, and 11073 constitutes the refereed proceedings of the 21st International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2018, held in Granada, Spain, in September 2018. The 373 revised full papers presented were carefully reviewed and selected from 1068 submissions in a double-blind review process. The papers have been organized in the following topical sections: Part I: Image Quality and Artefacts; Image Reconstruction Methods; Machine Learning in Medical Imaging; Statistical Analysis for Medical Imaging; Image Registration Methods. Part II: Optical and Histology Applications: Optical Imaging Applications; Histology Applications; Microscopy Applications; Optical Coherence Tomography and Other Optical Imaging Applications. Cardiac, Chest and Abdominal Applications: Cardiac Imaging Applications: Colorectal, Kidney and Liver Imaging Applications; Lung Imaging Applications; Breast Imaging Applications; Other Abdominal Applications. Part III: Diffusion Tensor Imaging and Functional MRI: Diffusion Tensor Imaging; Diffusion Weighted Imaging; Functional MRI; Human Connectome. Neuroimaging and Brain Segmentation Methods: Neuroimaging; Brain Segmentation Methods.Part IV: Computer Assisted Intervention: Image Guided Interventions and Surgery; Surgical Planning, Simulation and Work Flow Analysis; Visualization and Augmented Reality. Image Segmentation Methods: General Image Segmentation Methods, Measures and Applications; Multi-Organ Segmentation; Abdominal Segmentation Methods; Cardiac Segmentation Methods; Chest, Lung and Spine Segmentation; Other Segmentation Applications.
Medical Image Computing and Computer Assisted Intervention – MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part VI (Lecture Notes in Computer Science #11769)
by Ali Khan Dinggang Shen Tianming Liu Terry M. Peters Lawrence H. Staib Caroline Essert Sean Zhou Pew-Thian YapThe six-volume set LNCS 11764, 11765, 11766, 11767, 11768, and 11769 constitutes the refereed proceedings of the 22nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2019, held in Shenzhen, China, in October 2019. The 539 revised full papers presented were carefully reviewed and selected from 1730 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: optical imaging; endoscopy; microscopy.Part II: image segmentation; image registration; cardiovascular imaging; growth, development, atrophy and progression.Part III: neuroimage reconstruction and synthesis; neuroimage segmentation; diffusion weighted magnetic resonance imaging; functional neuroimaging (fMRI); miscellaneous neuroimaging.Part IV: shape; prediction; detection and localization; machine learning; computer-aided diagnosis; image reconstruction and synthesis.Part V: computer assisted interventions; MIC meets CAI. Part VI: computed tomography; X-ray imaging.
Medical Image Computing and Computer Assisted Intervention – MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part III (Lecture Notes in Computer Science #11766)
by Ali Khan Pew-Thian Yap Dinggang Shen Terry M. Peters Tianming Liu Lawrence H. Staib Caroline Essert Sean ZhouThe six-volume set LNCS 11764, 11765, 11766, 11767, 11768, and 11769 constitutes the refereed proceedings of the 22nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2019, held in Shenzhen, China, in October 2019. The 539 revised full papers presented were carefully reviewed and selected from 1730 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: optical imaging; endoscopy; microscopy. Part II: image segmentation; image registration; cardiovascular imaging; growth, development, atrophy and progression. Part III: neuroimage reconstruction and synthesis; neuroimage segmentation; diffusion weighted magnetic resonance imaging; functional neuroimaging (fMRI); miscellaneous neuroimaging. Part IV: shape; prediction; detection and localization; machine learning; computer-aided diagnosis; image reconstruction and synthesis. Part V: computer assisted interventions; MIC meets CAI. Part VI: computed tomography; X-ray imaging.
Medical Image Computing and Computer Assisted Intervention – MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part V (Lecture Notes in Computer Science #11768)
by Ali Khan Pew-Thian Yap Dinggang Shen Terry M. Peters Tianming Liu Lawrence H. Staib Caroline Essert Sean ZhouThe six-volume set LNCS 11764, 11765, 11766, 11767, 11768, and 11769 constitutes the refereed proceedings of the 22nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2019, held in Shenzhen, China, in October 2019. The 539 revised full papers presented were carefully reviewed and selected from 1730 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: optical imaging; endoscopy; microscopy.Part II: image segmentation; image registration; cardiovascular imaging; growth, development, atrophy and progression.Part III: neuroimage reconstruction and synthesis; neuroimage segmentation; diffusion weighted magnetic resonance imaging; functional neuroimaging (fMRI); miscellaneous neuroimaging.Part IV: shape; prediction; detection and localization; machine learning; computer-aided diagnosis; image reconstruction and synthesis.Part V: computer assisted interventions; MIC meets CAI. Part VI: computed tomography; X-ray imaging.