Proceedings of 2021 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2021): Medical Imaging and Computer-Aided Diagnosis (1st ed. 2022) (Lecture Notes in Electrical Engineering #784)

By: Ruidan Su and Yu-Dong Zhang and Han Liu

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Synopsis: This book covers virtually all aspects of image formation in medical imaging, including systems based on ionizing radiation (x-rays, gamma rays) and non-ionizing techniques (ultrasound, optical, thermal, magnetic resonance, and magnetic particle imaging) alike. In addition, it discusses the development and application of computer-aided detection and diagnosis (CAD) systems in medical imaging. Also there will be a special track on computer-aided diagnosis on COVID-19 by CT and X-rays images. Given its coverage, the book provides both a forum and valuable resource for researchers involved in image formation, experimental methods, image performance, segmentation, pattern recognition, feature extraction, classifier design, machine learning / deep learning, radiomics, CAD workstation design, human–computer interaction, databases, and performance evaluation.

Book Quality:: Publisher Quality
ISBN-13:: 9789811638800
Related ISBNs:: 9789811638794
Publisher:: Springer Singapore, Singapore
Date of Addition:: 09/23/21
Copyrighted By:: The Editor
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Science, Art and Architecture, Computers and Internet, Technology, Medicine
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.
Edited by:: Ruidan Su
Edited by:: Yu-Dong Zhang
Edited by:: Han Liu