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Machine learning in medical imaging ...

MLMI (Workshop) (2020 :)

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Machine learning in medical imaging = 11th International Workshop, MLMI 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 4, 2020 : proceedings /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Machine learning in medical imaging/ edited by Mingxia Liu ... [et al.].
其他題名:	11th International Workshop, MLMI 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 4, 2020 : proceedings /
其他題名:	MLMI 2020
其他作者:	Liu, Mingxia.
團體作者:	MLMI (Workshop)
出版者:	Cham :Springer International Publishing : : 2020.,
面頁冊數:	xv, 686 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Machine learning - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-030-59861-7
ISBN:	9783030598617

Machine learning in medical imaging = 11th 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 ;12436..

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

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

576368
Machine learning
--Congresses.

LC Class. No.: RC78.7.D53

Dewey Class. No.: 006.6

Machine learning in medical imaging = 11th International Workshop, MLMI 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 4, 2020 : proceedings /
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