Antani sameer (60 resultados)

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Taschenbuch. Condición: 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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Taschenbuch. Condición: 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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Paperback. Condición: 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 multiple locations in the US or from the UK, depending on stock availability.…

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Hardback. Condición: New.

Condición: New. In English.

Taschenbuch. Condición: 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.…

Taschenbuch. Condición: 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.…

Paperback. Condición: Brand New. 281 pages. 9.25x6.10x0.60 inches. In Stock.

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Condición: 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.…

Condición: New.

Condición: New.

Condición: As New. Unread book in perfect condition.

Paperback. Condición: 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.…

Condición: As New. Unread book in perfect condition.

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Condición: New.