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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging: 7th International Workshop, UNSURE 2025, Held in Conjunction with MICCAI ... 16166 (Lecture Notes in Computer Science) - Tapa blanda
Sinopsis
This book constitutes the refereed proceedings of the 7th Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2025, held in conjunction with MICCAI 2025, in Daejon, South Korea, on September 27, 2025.
The 22 full papers included in this book were carefully reviewed and selected from 33 submissions. They were organized in topical sections as follows: Risk management, uncertainty interpretation and visualisation; domain shift and out-of-distribution management; uncertainty calibration; and uncertainty modelling and estimation, Bayesian deep learning.
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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging (Lecture Notes in Computer Science)
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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging (Paperback)
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Springer Nature Switzerland AG, Cham, 2025
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Paperback. Condición: new. Paperback. This book constitutes the refereed proceedings of the 7th Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2025, held in conjunction with MICCAI 2025, in Daejon, South Korea, on September 27, 2025.The 22 full papers included in this book were carefully reviewed and selected from 33 submissions. They were organized in topical sections as follows: Risk management, uncertainty interpretation and visualisation; domain shift and out-of-distribution management; uncertainty calibration; and uncertainty modelling and estimation, Bayesian deep learning. This book constitutes the refereed proceedings of the 7th Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2025, held in conjunction with MICCAI 2025, in Daejon, South Korea, on September 27, 2025.The 22 full papers included in this book were carefully reviewed and selected from 33 submissions. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9783032065926
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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging: 7th International Workshop, Unsure 2025, Held in Conjunction With Miccai 2025, Daejon, South Korea, September 27, 2025, Proceedings
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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging
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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging (Paperback)
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ISBN 10: 3032065925
ISBN 13: 9783032065926
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Paperback. Condición: new. Paperback. This book constitutes the refereed proceedings of the 7th Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2025, held in conjunction with MICCAI 2025, in Daejon, South Korea, on September 27, 2025.The 22 full papers included in this book were carefully reviewed and selected from 33 submissions. They were organized in topical sections as follows: Risk management, uncertainty interpretation and visualisation; domain shift and out-of-distribution management; uncertainty calibration; and uncertainty modelling and estimation, Bayesian deep learning. This book constitutes the refereed proceedings of the 7th Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2025, held in conjunction with MICCAI 2025, in Daejon, South Korea, on September 27, 2025.The 22 full papers included in this book were carefully reviewed and selected from 33 submissions. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9783032065926
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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging: 7th International Workshop, Unsure 2025, Held in Conjunction With Miccai 2025, Daejon, South Korea, September 27, 2025, Proceedings
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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging
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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging : 7th International Workshop, UNSURE 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025, Proceedings
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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging | 7th International Workshop, UNSURE 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025, Proceedings
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Taschenbuch. Condición: Neu. Uncertainty for Safe Utilization of Machine Learning in Medical Imaging | 7th International Workshop, UNSURE 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025, Proceedings | Carole H. Sudre (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xi | Englisch | 2025 | Springer | EAN 9783032065926 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Nº de ref. del artículo: 134063349
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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging (Paperback)
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Springer Nature Switzerland AG, Cham, 2025
ISBN 10: 3032065925
ISBN 13: 9783032065926
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Paperback. Condición: new. Paperback. This book constitutes the refereed proceedings of the 7th Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2025, held in conjunction with MICCAI 2025, in Daejon, South Korea, on September 27, 2025.The 22 full papers included in this book were carefully reviewed and selected from 33 submissions. They were organized in topical sections as follows: Risk management, uncertainty interpretation and visualisation; domain shift and out-of-distribution management; uncertainty calibration; and uncertainty modelling and estimation, Bayesian deep learning. This book constitutes the refereed proceedings of the 7th Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2025, held in conjunction with MICCAI 2025, in Daejon, South Korea, on September 27, 2025.The 22 full papers included in this book were carefully reviewed and selected from 33 submissions. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Nº de ref. del artículo: 9783032065926
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