Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data: First MICCAI Workshop, DART 2019, and First International Workshop, MIL3ID 2019, Shenzhen, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings (1st ed. 2019) (Lecture Notes in Computer Science #11795)

Synopsis

This book constitutes the refereed proceedings of the First MICCAI Workshop on Domain Adaptation and Representation Transfer, DART 2019, and the First International Workshop on Medical Image Learning with Less Labels and Imperfect Data, MIL3ID 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. DART 2019 accepted 12 papers for publication out of 18 submissions. The papers deal with methodological advancements and ideas that can improve the applicability of machine learning and deep learning approaches to clinical settings by making them robust and consistent across different domains. MIL3ID accepted 16 papers out of 43 submissions for publication, dealing with best practices in medical image learning with label scarcity and data imperfection.

Copyright:

2019

Book Details

Book Quality:

Publisher Quality

ISBN-13:

9783030333911

Related ISBNs:

9783030333904

Publisher:

Springer International Publishing

Date of Addition:

12/21/19

Copyrighted By:

Springer

Adult content:

No

Language:

English

Has Image Descriptions:

No

Categories:

Nonfiction, Art and Architecture, Computers and Internet, Medicine

Submitted By:

Bookshare Staff

Usage Restrictions:

This is a copyrighted book.

Edited by:

Qian Wang

Edited by:

Fausto Milletari

Edited by:

Hien V. Nguyen

Edited by:

Shadi Albarqouni

Edited by:

M. Jorge Cardoso

Edited by:

Nicola Rieke

Edited by:

Ziyue Xu

Edited by:

Konstantinos Kamnitsas

Edited by:

Vishal Patel

Edited by:

Badri Roysam

Edited by:

Steve Jiang

Edited by:

Kevin Zhou

Edited by:

Khoa Luu

Edited by:

Ngan Le