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Synopsis
This book constitutes the refereed proceedings of the 6th Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, on October 10, 2024.
The 20 full papers presented in this book were carefully reviewed and selected from 28 submissions. They are organized in the following topical sections: annotation uncertainty; clinical implementation of uncertainty modelling and risk management in clinical pipelines; out of distribution and domain shift identification and management; uncertainty modelling and estimation.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
- ÉditeurSpringer
- Date d'édition2024
- ISBN 10 3031731573
- ISBN 13 9783031731570
- ReliureBroché
- Langueanglais
- Nombre de pages240
- ÉditeurSudre Carole H., Mehta Raghav, Ouyang Cheng, Qin Chen, Rakic Marianne, Wells William M.
- Coordonnées du fabricantnon disponible
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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging
Edité par
Springer Verlag GmbH, 2024
ISBN 10 : 3031731573
ISBN 13 : 9783031731570
Neuf
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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging : 6th International Workshop, UNSURE 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings
Edité par
Springer Nature Switzerland, Springer Nature Switzerland, 2024
ISBN 10 : 3031731573
ISBN 13 : 9783031731570
Neuf
Taschenbuch
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the 6th Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, on October 10, 2024.The 20 full papers presented in this book were carefully reviewed and selected from 28 submissions. They are organized in the following topical sections: annotation uncertainty; clinical implementation of uncertainty modelling and risk management in clinical pipelines; out of distribution and domain shift identification and management; uncertainty modelling and estimation. N° de réf. du vendeur 9783031731570
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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging
Edité par
Springer, Berlin, Springer Nature Switzerland, Springer, 2024
ISBN 10 : 3031731573
ISBN 13 : 9783031731570
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book constitutes the refereed proceedings of the 6th Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, on October 10, 2024.The 20 full papers presented in this book were carefully reviewed and selected from 28 submissions. They are organized in the following topical sections: annotation uncertainty; clinical implementation of uncertainty modelling and risk management in clinical pipelines; out of distribution and domain shift identification and management; uncertainty modelling and estimation. 226 pp. Englisch. N° de réf. du vendeur 9783031731570
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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging
ISBN 10 : 3031731573
ISBN 13 : 9783031731570
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Taschenbuch. Etat : Neu. Neuware -This book constitutes the refereed proceedings of the 6th Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, on October 10, 2024.The 20 full papers presented in this book were carefully reviewed and selected from 28 submissions. They are organized in the following topical sections: annotation uncertainty; clinical implementation of uncertainty modelling and risk management in clinical pipelines; out of distribution and domain shift identification and management; uncertainty modelling and estimation.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 240 pp. Englisch. N° de réf. du vendeur 9783031731570
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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging: 6th International Workshop, UNSURE 2024, Held in Conjunction with MICCAI . (Lecture Notes in Computer Science, 15167)
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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging: 6th International Workshop, Unsure 2024, Held in Conjunction With Miccai 2024, Marrakesh, Morocco, October 10, 2024, Proceedings
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Springer-Nature New York Inc, 2024
ISBN 10 : 3031731573
ISBN 13 : 9783031731570
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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging: 6th International Workshop, UNSURE 2024, Held in Conjunction with MICCAI . (Lecture Notes in Computer Science, 15167)
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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging: 6th International Workshop, UNSURE 2024, Held in Conjunction with MICCAI . (Lecture Notes in Computer Science, 15167)
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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging (Paperback)
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Springer International Publishing AG, Cham, 2024
ISBN 10 : 3031731573
ISBN 13 : 9783031731570
Neuf
Paperback
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Paperback. Etat : new. Paperback. This book constitutes the refereed proceedings of the 6th Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, on October 10, 2024.The 20 full papers presented in this book were carefully reviewed and selected from 28 submissions. They are organized in the following topical sections: annotation uncertainty; clinical implementation of uncertainty modelling and risk management in clinical pipelines; out of distribution and domain shift identification and management; uncertainty modelling and estimation. This book constitutes the refereed proceedings of the 6th Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, on October 10, 2024.The 20 full papers presented in this book were carefully reviewed and selected from 28 submissions. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9783031731570
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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging (Lecture Notes in Computer Science)
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