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Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data : Miccai 2020 Challenges, Abcs 2020, L2r 2020, Tn-scui 2020, Held in Conjunction With Miccai 2020, Lima, Peru, October 4?8, 2020, Proceedings
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data (Image Processing, Computer Vision, Pattern Recognition, and Graphics)
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Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data : Miccai 2020 Challenges, Abcs 2020, L2r 2020, Tn-scui 2020, Held in Conjunction With Miccai 2020, Lima, Peru, October 4?8, 2020, Proceedings
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Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data (Image Processing, Computer Vision, Pattern Recognition, and Graphics)
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Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data: MICCAI 2020 Challenges, ABCs 2020, L2R 2020, TN-SCUI 2020, Held . (Lecture Notes in Computer Science, 12587)
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Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data : Miccai 2020 Challenges, Abcs 2020, L2r 2020, Tn-scui 2020, Held in Conjunction With Miccai 2020, Lima, Peru, October 4?8, 2020, Proceedings
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data: MICCAI 2020 Challenges, ABCs 2020, L2R 2020, TN-SCUI 2020, Held . (Lecture Notes in Computer Science, 12587) 1st ed. 2021 Edition
Da: Books Puddle, New York, NY, U.S.A.
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Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data : Miccai 2020 Challenges, Abcs 2020, L2r 2020, Tn-scui 2020, Held in Conjunction With Miccai 2020, Lima, Peru, October 4?8, 2020, Proceedings
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data: Miccai 2020 Challenges, Abcs 2020, L2r 2020, Tn-scui 2020, Held in Conjunction With Miccai 2020, Lima, Peru, October 48, 2020, Proceedings
Editore: Springer-Nature New York Inc, 2021
ISBN 10: 3030718263 ISBN 13: 9783030718268
Lingua: Inglese
Da: Revaluation Books, Exeter, Regno Unito
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Aggiungi al carrelloPaperback. Condizione: Brand New. 175 pages. 9.25x6.10x0.38 inches. In Stock.
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Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data
Editore: Springer International Publishing, Springer Nature Switzerland Mär 2021, 2021
ISBN 10: 3030718263 ISBN 13: 9783030718268
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -This book constitutes three challenges that were held in conjunction with the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, in Lima, Peru, in October 2020\*: the Anatomical Brain Barriers to Cancer Spread: Segmentation from CT and MR Images Challenge, the Learn2Reg Challenge, and the Thyroid Nodule Segmentation and Classification in Ultrasound Images Challenge.The 19 papers presented in this volume were carefully reviewed and selected form numerous submissions. The ABCs challenge aims to identify the best methods of segmenting brain structures that serve as barriers to the spread of brain cancers and structures to be spared from irradiation, for use in computer assisted target definition for glioma and radiotherapy plan optimization. The papers of the L2R challenge cover a wide spectrum of conventional and learning-based registration methods and often describe novel contributions. The main goal of the TN-SCUI challenge is tofind automatic algorithms to accurately segment and classify the thyroid nodules in ultrasound images.\*The challenges took place virtually due to the COVID-19 pandemic.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 176 pp. Englisch.
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Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data : MICCAI 2020 Challenges, ABCs 2020, L2R 2020, TN-SCUI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4¿8, 2020, Proceedings
Editore: Springer International Publishing, 2021
ISBN 10: 3030718263 ISBN 13: 9783030718268
Lingua: Inglese
EUR 53,49
EUR 61,39 per la spedizione da Germania a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes three challenges that were held in conjunction with the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, in Lima, Peru, in October 2020\*: the Anatomical Brain Barriers to Cancer Spread: Segmentation from CT and MR Images Challenge, the Learn2Reg Challenge, and the Thyroid Nodule Segmentation and Classification in Ultrasound Images Challenge.The 19 papers presented in this volume were carefully reviewed and selected form numerous submissions. The ABCs challenge aims to identify the best methods of segmenting brain structures that serve as barriers to the spread of brain cancers and structures to be spared from irradiation, for use in computer assisted target definition for glioma and radiotherapy plan optimization. The papers of the L2R challenge cover a wide spectrum of conventional and learning-based registration methods and often describe novel contributions. The main goal of the TN-SCUI challenge is tofind automatic algorithms to accurately segment and classify the thyroid nodules in ultrasound images.\*The challenges took place virtually due to the COVID-19 pandemic.
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Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data | MICCAI 2020 Challenges, ABCs 2020, L2R 2020, TN-SCUI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings
Editore: Springer Nature Switzerland, 2021
ISBN 10: 3030718263 ISBN 13: 9783030718268
Lingua: Inglese
EUR 50,35
EUR 70,00 per la spedizione da Germania a U.S.A.Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data | MICCAI 2020 Challenges, ABCs 2020, L2R 2020, TN-SCUI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings | Nadya Shusharina (u. a.) | Taschenbuch | xix | Englisch | 2021 | Springer Nature Switzerland | EAN 9783030718268 | 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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Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data
Editore: Springer International Publishing Mrz 2021, 2021
ISBN 10: 3030718263 ISBN 13: 9783030718268
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book constitutes three challenges that were held in conjunction with the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, in Lima, Peru, in October 2020\*: the Anatomical Brain Barriers to Cancer Spread: Segmentation from CT and MR Images Challenge, the Learn2Reg Challenge, and the Thyroid Nodule Segmentation and Classification in Ultrasound Images Challenge.The 19 papers presented in this volume were carefully reviewed and selected form numerous submissions. The ABCs challenge aims to identify the best methods of segmenting brain structures that serve as barriers to the spread of brain cancers and structures to be spared from irradiation, for use in computer assisted target definition for glioma and radiotherapy plan optimization. The papers of the L2R challenge cover a wide spectrum of conventional and learning-based registration methods and often describe novel contributions. The main goal of the TN-SCUI challenge is to find automatic algorithms to accurately segment and classify the thyroid nodules in ultrasound images.\*The challenges took place virtually due to the COVID-19 pandemic. 176 pp. Englisch.
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Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data: MICCAI 2020 Challenges, ABCs 2020, L2R 2020, TN-SCUI 2020, Held . (Lecture Notes in Computer Science, 12587) 1st ed. 2021 Edition
Da: Majestic Books, Hounslow, Regno Unito
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Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data: MICCAI 2020 Challenges, ABCs 2020, L2R 2020, TN-SCUI 2020, Held . (Lecture Notes in Computer Science, 12587) 1st ed. 2021 Edition
Da: Biblios, Frankfurt am main, HESSE, Germania
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Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data
Editore: Springer International Publishing, 2021
ISBN 10: 3030718263 ISBN 13: 9783030718268
Lingua: Inglese
EUR 48,37
EUR 48,99 per la spedizione da Germania a U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book constitutes three challenges that were held in conjunction with the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, in Lima, Peru, in October 2020*: the Anatomical Brain Barriers to Cancer .
