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Machine Learning in Medical Imaging 14th International Workshop, MLMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings, Part I /

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 review...

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Bibliografski detalji
Autor kompanije: SpringerLink (Online service)
Daljnji autori: Cao, Xiaohuan (Urednik), Xu, Xuanang (Urednik), Rekik, Islem (Urednik), Cui, Zhiming (Urednik), Ouyang, Xi (Urednik)
Format: Elektronički e-knjiga
Jezik:engleski
Izdano: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Izdanje:1st ed. 2024.
Serija:Lecture Notes in Computer Science, 14348
Teme:
Computer vision.
Image processing > Digital techniques.
Machine learning.
Computer networks .
Social sciences > Data processing.
Bioinformatics.
Computer Vision.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Machine Learning.
Computer Communication Networks.
Computer Application in Social and Behavioral Sciences.
Online pristup:https://doi.org/10.1007/978-3-031-45673-2
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Opis
Sažetak: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.
Opis fizičkog objekta:1 online resource (XXII, 480 p. 174 illus.). 158 illus. in color.
ISBN:9783031456732
ISSN:1611-3349 ;
Digitalni identifikator objekta:10.1007/978-3-031-45673-2

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