Editore: Springer, 2022
ISBN 10: 3031167597 ISBN 13: 9783031167591
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Editore: Springer Nature Switzerland, 2022
ISBN 10: 3031167597 ISBN 13: 9783031167591
Da: Buchpark, Trebbin, Germania
Condizione: Gut. Zustand: Gut - Gebrauchs- und Lagerspuren. Außen: Verpackung leicht beschädigt/ geöffnet, zerkratzt, Riss / Einschnitt. | Seiten: 252 | Sprache: Englisch | Produktart: Bücher.
Editore: Springer, 2022
ISBN 10: 3031167597 ISBN 13: 9783031167591
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
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Editore: Springer, 2022
ISBN 10: 3031167597 ISBN 13: 9783031167591
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Editore: Springer, 2022
ISBN 10: 3031167597 ISBN 13: 9783031167591
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
Editore: Springer, 2022
ISBN 10: 3031167597 ISBN 13: 9783031167591
Da: Ria Christie Collections, Uxbridge, Regno Unito
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Editore: Springer, 2022
ISBN 10: 3031167597 ISBN 13: 9783031167591
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Editore: Springer Nature Switzerland Sep 2022, 2022
ISBN 10: 3031167597 ISBN 13: 9783031167591
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 252 pp. Englisch.
Editore: Springer, 2022
ISBN 10: 3031167597 ISBN 13: 9783031167591
Da: GreatBookPricesUK, Castle Donington, DERBY, Regno Unito
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Editore: Springer 2022-09, 2022
ISBN 10: 3031167597 ISBN 13: 9783031167591
Da: Chiron Media, Wallingford, Regno Unito
PF. Condizione: New.
Editore: Springer Nature Switzerland, 2022
ISBN 10: 3031167597 ISBN 13: 9783031167591
Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. 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.
Editore: Springer, 2022
ISBN 10: 3031167597 ISBN 13: 9783031167591
Da: GreatBookPricesUK, Castle Donington, DERBY, Regno Unito
Condizione: As New. Unread book in perfect condition.
Editore: Springer, Berlin|Springer Nature Switzerland|Springer, 2022
ISBN 10: 3031167597 ISBN 13: 9783031167591
Da: moluna, Greven, Germania
Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 .