Machine Learning in Medical Imaging

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85,59 

14th International Workshop, MLMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8,2023, Proceedings, Part II, Lecture Notes in Computer Science 14349

ISBN: 3031456750
ISBN 13: 9783031456756
Herausgeber: Xiaohuan Cao/Xuanang Xu/Islem Rekik et al
Verlag: Springer Verlag GmbH
Umfang: xxi, 482 S., 7 s/w Illustr., 131 farbige Illustr., 482 p. 138 illus., 131 illus. in color.
Erscheinungsdatum: 15.10.2023
Auflage: 1/2024
Produktform: Kartoniert
Einband: Kartoniert
Artikelnummer: 678551 Kategorie:

Beschreibung

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.

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Springer Verlag GmbH
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E-Mail: juergen.hartmann@springer.com

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