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Editore: Springer Nature Switzerland, 2022
ISBN 10: 3031167597 ISBN 13: 9783031167591
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the proceedings of the First Workshop on Medical Image Learning with Limited and Noisy Data, MILLanD 2022, held in conjunction with MICCAI 2022. The conference was held in Singapore. For this workshop, 22 papers from 54 submissions were accepted for publication. They selected papers focus on the challenges and limitations of current deep learning methods applied to limited and noisy medical data and present new methods for training models using such imperfect data.
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Aggiungi al carrelloCondizione: Gut. Zustand: Gut | Seiten: 256 | Sprache: Englisch | Produktart: Bücher | This book constitutes the proceedings of the First Workshop on Medical Image Learning with Limited and Noisy Data, MILLanD 2022, held in conjunction with MICCAI 2022. The conference was held in Singapore. For this workshop, 22 papers from 54 submissions were accepted for publication. They selected papers focus on the challenges and limitations of current deep learning methods applied to limited and noisy medical data and present new methods for training models using such imperfect data.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Medical Image Learning with Limited and Noisy Data | First International Workshop, MILLanD 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings | Ghada Zamzmi (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xi | Englisch | 2022 | Springer | EAN 9783031167591 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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ISBN 10: 3031471962 ISBN 13: 9783031471964
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Medical Image Learning with Limited and Noisy Data | Second International Workshop, MILLanD 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings | Zhiyun Xue (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xi | Englisch | 2023 | Springer | EAN 9783031471964 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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ISBN 10: 3031471962 ISBN 13: 9783031471964
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ISBN 10: 3031471962 ISBN 13: 9783031471964
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book consists of full papers presented in the 2nd workshop of 'Medical Image Learning with Noisy and Limited Data (MILLanD)' held in conjunction with the 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023).The 24 full papers presented were carefully reviewed and selected from 38 submissions.The conference focused onchallenges and limitations of current deep learning methods applied to limited and noisy medical data and present new methods for training models using such imperfect data.
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Aggiungi al carrelloCondizione: Hervorragend. Zustand: Hervorragend | Seiten: 284 | Sprache: Englisch | Produktart: Bücher | This book consists of full papers presented in the 2nd workshop of ¿Medical Image Learning with Noisy and Limited Data (MILLanD)¿ held in conjunction with the 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023). The 24 full papers presented were carefully reviewed and selected from 38 submissions. The conference focused on challenges and limitations of current deep learning methods applied to limited and noisy medical data and present new methods for training models using such imperfect data.
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Lingua: Inglese
Editore: Springer International Publishing AG, Cham, 2023
ISBN 10: 3031471962 ISBN 13: 9783031471964
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Prima edizione
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. This book consists of full papers presented in the 2nd workshop of Medical Image Learning with Noisy and Limited Data (MILLanD) held in conjunction with the 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023).The 24 full papers presented were carefully reviewed and selected from 38 submissions. The conference focused on challenges and limitations of current deep learning methods applied to limited and noisy medical data and present new methods for training models using such imperfect data. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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