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)

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