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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging 5th International Workshop, UNSURE 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings /

This book constitutes the refereed proceedings of the 5th Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2023, held in conjunction with MICCAI 2023 in Vancouver, Canada, in October 2023. For this workshop, 21 papers from 32 submissions were accepted for p...

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Dettagli Bibliografici
Ente Autore: SpringerLink (Online service)
Altri autori: Sudre, Carole H. (Redattore), Baumgartner, Christian F. (Redattore), Dalca, Adrian (Redattore), Mehta, Raghav (Redattore), Qin, Chen (Redattore), Wells, William M. (Redattore)
Natura: Elettronico eBook
Lingua:inglese
Pubblicazione: Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
Edizione:1st ed. 2023.
Serie:Lecture Notes in Computer Science, 14291
Soggetti:
Artificial intelligence.
Image processing > Digital techniques.
Computer vision.
Computers.
Application software.
Artificial Intelligence.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Computing Milieux.
Computer and Information Systems Applications.
Accesso online:https://doi.org/10.1007/978-3-031-44336-7
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Riassunto:This book constitutes the refereed proceedings of the 5th Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2023, held in conjunction with MICCAI 2023 in Vancouver, Canada, in October 2023. For this workshop, 21 papers from 32 submissions were accepted for publication. The accepted papers cover the fields of uncertainty estimation and modeling, as well as out of distribution management, domain shift robustness, Bayesian deep learning and uncertainty calibration.
Descrizione fisica:1 online resource (XIII, 220 p. 58 illus.). 54 illus. in color.
ISBN:9783031443367
ISSN:1611-3349 ;
DOI:10.1007/978-3-031-44336-7

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