Interpretable and Annotation-Efficient Learning for Medical Image Computing: Third International Workshop, iMIMIC 2020, Second International Workshop, MIL3iD 2020, and 5th International Workshop, LABELS 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4–8, 2020, Proceedings (1st ed. 2020) (Lecture Notes in Computer Science #12446)
By: and and and and and and and and and and and and and and and and and and
Sign Up Now!
Already a Member? Log In
You must be logged into Bookshare to access this title.
Learn about membership options,
or view our freely available titles.
- Synopsis
- This book constitutes the refereed joint proceedings of the Third International Workshop on Interpretability of Machine Intelligence in Medical Image Computing, iMIMIC 2020, the Second International Workshop on Medical Image Learning with Less Labels and Imperfect Data, MIL3ID 2020, and the 5th International Workshop on Large-scale Annotation of Biomedical data and Expert Label Synthesis, LABELS 2020, held in conjunction with the 23rd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2020, in Lima, Peru, in October 2020. The 8 full papers presented at iMIMIC 2020, 11 full papers to MIL3ID 2020, and the 10 full papers presented at LABELS 2020 were carefully reviewed and selected from 16 submissions to iMIMIC, 28 to MIL3ID, and 12 submissions to LABELS. The iMIMIC papers focus on introducing the challenges and opportunities related to the topic of interpretability of machine learning systems in the context of medical imaging and computer assisted intervention. MIL3ID deals with best practices in medical image learning with label scarcity and data imperfection. The LABELS papers present a variety of approaches for dealing with a limited number of labels, from semi-supervised learning to crowdsourcing.
- Copyright:
- 2020
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9783030611668
- Related ISBNs:
- 9783030611651
- Publisher:
- Springer International Publishing
- Date of Addition:
- 11/03/20
- Copyrighted By:
- Springer
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Art and Architecture, Computers and Internet
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Samaneh Abbasi
- Edited by:
- Emanuele Trucco
- Edited by:
- Diana Mateus
- Edited by:
- Veronika Cheplygina
- Edited by:
- Raphael Sznitman
- Edited by:
- Khoa Luu
- Edited by:
- Ngan Le
- Edited by:
- Steve Jiang
- Edited by:
- Kevin Zhou
- Edited by:
- Badri Roysam
- Edited by:
- Vishal Patel
- Edited by:
- Jose Pereira Amorim
- Edited by:
- Ricardo Cruz
- Edited by:
- Wilson Silva
- Edited by:
- Ivana Isgum
- Edited by:
- Pedro Henriques Abreu
- Edited by:
- Nicholas Heller
- Edited by:
- Hien Van Nguyen
- Edited by:
- Jaime Cardoso
Reviews
Other Books
- by Jaime Cardoso
- by Emanuele Trucco
- by Diana Mateus
- by Veronika Cheplygina
- by Pedro Henriques Abreu
- by Raphael Sznitman
- by Nicholas Heller
- by Steve Jiang
- by Vishal Patel
- by Badri Roysam
- by Kevin Zhou
- by Khoa Luu
- by Ngan Le
- by Hien Van Nguyen
- by Ivana Isgum
- by Wilson Silva
- by Ricardo Cruz
- by Jose Pereira Amorim
- by Samaneh Abbasi
- in Nonfiction
- in Art and Architecture
- in Computers and Internet