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Machine Learning in Medical Imaging1...

(1998 :)

Machine Learning in Medical Imaging12th International Workshop, MLMI 2021, held in conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021 : proceedings /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Machine Learning in Medical Imagingedited by Chunfeng Lian ... [et al.].
Reminder of title:	12th International Workshop, MLMI 2021, held in conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021 : proceedings /
remainder title:	MLMI 2021
other author:	Lian, Chunfeng.
corporate name:
Published:	Cham :Springer International Publishing :2021.
Description:	xviii, 704 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Machine learningCongresses.
Online resource:	https://doi.org/10.1007/978-3-030-87589-3
ISBN:	9783030875893$q(electronic bk.)

Machine Learning in Medical Imaging12th International Workshop, MLMI 2021, held in conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021 : proceedings /
Machine Learning in Medical Imaging12th International Workshop, MLMI 2021, held in conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021 : proceedings /[electronic resource] :MLMI 2021edited by Chunfeng Lian ... [et al.]. - Cham :Springer International Publishing :2021. - xviii, 704 p. :ill., digital ;24 cm. - Lecture notes in computer science,129660302-9743 ;. - Lecture notes in computer science ;4891..

This book constitutes the proceedings of the 12th International Workshop on Machine Learning in Medical Imaging, MLMI 2021, held in conjunction with MICCAI 2021, in Strasbourg, France, in September 2021.* The 71 papers presented in this volume were carefully reviewed and selected from 92 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. *The workshop was held virtually.

ISBN: 9783030875893$q(electronic bk.)

Standard No.: 10.1007/978-3-030-87589-3doiSubjects--Topical Terms:

384498
Machine learning
--Congresses.

LC Class. No.: RC78.7.D53 / M56 2021

Dewey Class. No.: 006.6

Machine Learning in Medical Imaging12th International Workshop, MLMI 2021, held in conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021 : proceedings /
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