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Machine learning in medical imaging14th International Workshop, MLMI 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023 : proceedings.Part I /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Machine learning in medical imagingedited by Xiaohuan Cao ... [et al.].
Reminder of title:	14th International Workshop, MLMI 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023 : proceedings.
remainder title:	MLMI 2023
other author:	Cao, Xiaohuan.
corporate name:
Published:	Cham :Springer Nature Switzerland :2024.
Description:	xxii, 480 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Computer vision
Online resource:	https://doi.org/10.1007/978-3-031-45673-2
ISBN:	9783031456732$q(electronic bk.)

Machine learning in medical imaging14th International Workshop, MLMI 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023 : proceedings.Part I /
Machine learning in medical imaging14th International Workshop, MLMI 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023 : proceedings.Part I /[electronic resource] :MLMI 2023edited by Xiaohuan Cao ... [et al.]. - Cham :Springer Nature Switzerland :2024. - xxii, 480 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,143481611-3349 ;. - Lecture notes in computer science ;4891..

The two-volume set LNCS 14348 and 14139 constitutes the proceedings of the 14th International Workshop on Machine Learning in Medical Imaging, MLMI 2023, held in conjunction with MICCAI 2023, in Vancouver, Canada, in October 2023. The 93 full papers presented in the proceedings were carefully reviewed and selected from 139 submissions. They focus on major trends and challenges in artificial intelligence and machine learning in the medical imaging field, translating medical imaging research into clinical practice. Topics of interests included deep learning, generative adversarial learning, ensemble learning, transfer learning, multi-task learning, manifold learning, reinforcement learning, along with their applications to medical image analysis, computer-aided diagnosis, multi-modality fusion, image reconstruction, image retrieval, cellular image analysis, molecular imaging, digital pathology, etc.

ISBN: 9783031456732$q(electronic bk.)

Standard No.: 10.1007/978-3-031-45673-2doiSubjects--Topical Terms:

253837
Computer vision

LC Class. No.: TA1634

Dewey Class. No.: 006.37

Machine learning in medical imaging14th International Workshop, MLMI 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023 : proceedings.Part I /
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