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Machine learning in medical imaging1...

(1998 :)

Machine learning in medical imaging11th International Workshop, MLMI 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 4, 2020 : proceedings /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Machine learning in medical imagingedited by Mingxia Liu ... [et al.].
Reminder of title:	11th International Workshop, MLMI 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 4, 2020 : proceedings /
remainder title:	MLMI 2020
other author:	Liu, Mingxia.
corporate name:
Published:	Cham :Springer International Publishing :2020.
Description:	xv, 686 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Machine learningCongresses.
Online resource:	https://doi.org/10.1007/978-3-030-59861-7
ISBN:	9783030598617$q(electronic bk.)

Machine learning in medical imaging11th International Workshop, MLMI 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 4, 2020 : proceedings /
Machine learning in medical imaging11th International Workshop, MLMI 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 4, 2020 : proceedings /[electronic resource] :MLMI 2020edited by Mingxia Liu ... [et al.]. - Cham :Springer International Publishing :2020. - xv, 686 p. :ill., digital ;24 cm. - Lecture notes in computer science,124360302-9743 ;. - Lecture notes in computer science ;4891..

This book constitutes the proceedings of the 11th International Workshop on Machine Learning in Medical Imaging, MLMI 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020. The conference was held virtually due to the COVID-19 pandemic. The 68 papers presented in this volume were carefully reviewed and selected from 101 submissions. They focus on major trends and challenges in the above-mentioned area, aiming to identify new-cutting-edge techniques and their uses in medical imaging. Topics dealt with are: deep learning, generative adversarial learning, ensemble learning, sparse learning, multi-task learning, multi-view learning, manifold learning, and reinforcement learning, with their applications to medical image analysis, computer-aided detection and diagnosis, multi-modality fusion, image reconstruction, image retrieval, cellular image analysis, molecular imaging, digital pathology, etc.

ISBN: 9783030598617$q(electronic bk.)

Standard No.: 10.1007/978-3-030-59861-7doiSubjects--Topical Terms:

384498
Machine learning
--Congresses.

LC Class. No.: RC78.7.D53

Dewey Class. No.: 006.6

Machine learning in medical imaging11th International Workshop, MLMI 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 4, 2020 : proceedings /
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