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Domain Adaptation and Representation Transfer and Medical Image Learning With Less Labels and Imperfect Data : First Miccai Workshop, Dart 2019, and First International Workshop, Mil3id 2019, Shenzhen, Held in Conjunction With Miccai 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings
Book 157 of 300: Lecture Notes in Computer ScienceCondition: New.
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Domain Adaptation and Representation Transfer and Medical Image Learning With Less Labels and Imperfect Data : First Miccai Workshop, Dart 2019, and First International Workshop, Mil3id 2019, Shenzhen, Held in Conjunction With Miccai 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings
Book 157 of 300: Lecture Notes in Computer ScienceCondition: As New. Unread book in perfect condition.
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Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data (Image Processing, Computer Vision, Pattern Recognition, and Graphics)
Book 157 of 300: Lecture Notes in Computer ScienceSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 50.80
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Ships from United Kingdom to U.S.A.Quantity: Over 20 available
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Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning (Image Processing, Computer Vision, Pattern Recognition, and Graphics)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 50.80
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Domain Adaptation and Representation Transfer and Medical Image Learning With Less Labels and Imperfect Data : First Miccai Workshop, Dart 2019, and First International Workshop, Mil3id 2019, Shenzhen, Held in Conjunction With Miccai 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings
Book 157 of 300: Lecture Notes in Computer ScienceSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Condition: New. pp. XIII, 212 86 illus., 67 illus. in color. 1 Edition NO-PA16APR2015-KAP.
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Domain Adaptation And Representation Tra
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
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Domain Adaptation And Representation Tra
Book 157 of 300: Lecture Notes in Computer ScienceSeller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New.
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Domain Adaptation and Representation Transfer and Medical Image Learning With Less Labels and Imperfect Data : First Miccai Workshop, Dart 2019, and First International Workshop, Mil3id 2019, Shenzhen, Held in Conjunction With Miccai 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings
Book 157 of 300: Lecture Notes in Computer ScienceSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning: Second Miccai Workshop, Dart 2020, and First Miccai Workshop, Dcl 2020, Held in Conjunction With Miccai 2020, Lima, Peru, October 4-8, Proceedings
Language: English
Published by Springer-Nature New York Inc, 2020
ISBN 10: 3030605477 ISBN 13: 9783030605476
Paperback. Condition: Brand New. 228 pages. 9.25x6.10x0.94 inches. In Stock.
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Domain Adaptation and Representation Transfer and Medical Image Learning With Less Labels and Imperfect Data: First Miccai Workshop, Dart 2019, and First International Workshop, Mil3id 2019, Shenzhen, Held in Conjunction With Miccai 2019, Shenzhen, China, Octo
Book 157 of 300: Lecture Notes in Computer ScienceLanguage: English
Published by Springer-Verlag New York Inc, 2019
ISBN 10: 3030333906 ISBN 13: 9783030333904
Paperback. Condition: Brand New. 274 pages. 9.25x6.10x0.67 inches. In Stock.
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Condition: New.
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Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning : Second MICCAI Workshop, DART 2020, and First MICCAI Workshop, DCL 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4ż8, 2020, Proceedings
Language: English
Published by Springer International Publishing, 2020
ISBN 10: 3030605477 ISBN 13: 9783030605476
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the Second MICCAI Workshop on Domain Adaptation and Representation Transfer, DART 2020, and the First MICCAI Workshop on Distributed and Collaborative Learning, DCL 2020, held in conjunction with MICCAI 2020 in October 2020. The conference was planned to take place in Lima, Peru, but changed to an online format due to the Coronavirus pandemic.For DART 2020, 12 full papers were accepted from 18 submissions. They deal withmethodological advancements and ideas thatcan improve the applicability of machine learning (ML)/deep learning (DL) approaches to clinical settings bymaking them robust and consistent across different domains.For DCL 2020, the 8 papers included in this book were accepted from a total of 12 submissions. They focus on the comparison, evaluation and discussion of methodological advancement andpractical ideas about machine learning applied to problems where data cannot be stored in centralizeddatabases; where information privacy is a priority; where it is necessary to deliver strong guarantees on theamount and nature of private information that may be revealed by the model as a result of training; and whereit's necessary to orchestrate, manage and direct clusters of nodes participating in the same learning task.
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Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data : First MICCAI Workshop, DART 2019, and First International Workshop, MIL3ID 2019, Shenzhen, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings
Book 157 of 300: Lecture Notes in Computer ScienceLanguage: English
Published by Springer International Publishing, Springer International Publishing, 2019
ISBN 10: 3030333906 ISBN 13: 9783030333904
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the First MICCAI Workshop on Domain Adaptation and Representation Transfer, DART 2019, and the First International Workshop on Medical Image Learning with Less Labels and Imperfect Data, MIL3ID 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. DART 2019 accepted 12 papers for publication out of 18 submissions. The papers deal with methodological advancements and ideas that can improve the applicability of machine learning and deep learning approaches to clinical settings by making them robust and consistent across different domains. MIL3ID accepted 16 papers out of 43 submissions for publication, dealing with best practices in medical image learning with label scarcity and data imperfection.
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Taschenbuch. Condition: Neu. Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning | Second MICCAI Workshop, DART 2020, and First MICCAI Workshop, DCL 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings | Shadi Albarqouni (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xiii | Englisch | 2020 | Springer | EAN 9783030605476 | 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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Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data | First MICCAI Workshop, DART 2019, and First International Workshop, MIL3ID 2019, Shenzhen, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings
Book 157 of 300: Lecture Notes in Computer ScienceTaschenbuch. Condition: Neu. Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data | First MICCAI Workshop, DART 2019, and First International Workshop, MIL3ID 2019, Shenzhen, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings | Qian Wang (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xvii | Englisch | 2019 | Springer | EAN 9783030333904 | 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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Condition: new. Questo è un articolo print on demand.
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Condition: new. Questo è un articolo print on demand.
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Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning
Language: English
Published by Springer International Publishing Sep 2020, 2020
ISBN 10: 3030605477 ISBN 13: 9783030605476
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book constitutes the refereed proceedings of the Second MICCAI Workshop on Domain Adaptation and Representation Transfer, DART 2020, and the First MICCAI Workshop on Distributed and Collaborative Learning, DCL 2020, held in conjunction with MICCAI 2020 in October 2020. The conference was planned to take place in Lima, Peru, but changed to an online format due to the Coronavirus pandemic.For DART 2020, 12 full papers were accepted from 18 submissions. They deal withmethodological advancements and ideas thatcan improve the applicability of machine learning (ML)/deep learning (DL) approaches to clinical settings bymaking them robust and consistent across different domains.For DCL 2020, the 8 papers included in this book were accepted from a total of 12 submissions. They focus on the comparison, evaluation and discussion of methodological advancement andpractical ideas about machine learning applied to problems where data cannot be stored in centralizeddatabases; where information privacy is a priority; where it is necessary to deliver strong guarantees on theamount and nature of private information that may be revealed by the model as a result of training; and whereit's necessary to orchestrate, manage and direct clusters of nodes participating in the same learning task. 228 pp. Englisch.
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Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data
Book 157 of 300: Lecture Notes in Computer ScienceLanguage: English
Published by Springer International Publishing Okt 2019, 2019
ISBN 10: 3030333906 ISBN 13: 9783030333904
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book constitutes the refereed proceedings of the First MICCAI Workshop on Domain Adaptation and Representation Transfer, DART 2019, and the First International Workshop on Medical Image Learning with Less Labels and Imperfect Data, MIL3ID 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. DART 2019 accepted 12 papers for publication out of 18 submissions. The papers deal with methodological advancements and ideas that can improve the applicability of machine learning and deep learning approaches to clinical settings by making them robust and consistent across different domains. MIL3ID accepted 16 papers out of 43 submissions for publication, dealing with best practices in medical image learning with label scarcity and data imperfection. 272 pp. Englisch.
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Condition: New. Print on Demand pp. XIII, 212 86 illus., 67 illus. in color.
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Condition: New. PRINT ON DEMAND pp. XIII, 212 86 illus., 67 illus. in color.
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Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning
Language: English
Published by Springer International Publishing, 2020
ISBN 10: 3030605477 ISBN 13: 9783030605476
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book constitutes the refereed proceedings of the Second MICCAI Workshop on Domain Adaptation and Representation Transfer, DART 2020, and the First MICCAI Workshop on Distributed and Collaborative Learning, DCL 2020, held in conjunction with MICCAI 2.
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Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data
Book 157 of 300: Lecture Notes in Computer ScienceLanguage: English
Published by Springer International Publishing, 2019
ISBN 10: 3030333906 ISBN 13: 9783030333904
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book constitutes the refereed proceedings of the First MICCAI Workshop on Domain Adaptation and Representation Transfer, DART 2019, and the First International Workshop on Medical Image Learning with Less Labels and Imperfect Data, MIL3ID 2019, held.
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Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning
Language: English
Published by Springer, Springer Sep 2020, 2020
ISBN 10: 3030605477 ISBN 13: 9783030605476
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book constitutes the refereed proceedings of the Second MICCAI Workshop on Domain Adaptation and Representation Transfer, DART 2020, and the First MICCAI Workshop on Distributed and Collaborative Learning, DCL 2020, held in conjunction with MICCAI 2020 in October 2020. The conference was planned to take place in Lima, Peru, but changed to an online format due to the Coronavirus pandemic.For DART 2020, 12 full papers were accepted from 18 submissions. They deal with methodological advancements and ideas that can improve the applicability of machine learning (ML)/deep learning (DL) approaches to clinical settings by making them robust and consistent across different domains.For DCL 2020, the 8 papers included in this book were accepted from a total of 12 submissions. They focus on the comparison, evaluation and discussion of methodological advancement and practical ideas about machine learning applied to problems where data cannot be stored in centralized databases; where information privacy is a priority; where it is necessary to deliver strong guarantees on the amount and nature of private information that may be revealed by the model as a result of training; and where it's necessary to orchestrate, manage and direct clusters of nodes participating in the same learning task.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 228 pp. Englisch.
