Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis (Image Processing, Computer Vision, Pattern Recognition, and Graphics)
ISBN 10: 3030972801 ISBN 13: 9783030972806
Verlag: Springer, 2022
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In. Bestandsnummer des Verkäufers ria9783030972806_new
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This book constitutes three challenges that were held in conjunction with the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, which was planned to take place in Strasbourg, France but changed to an online event due to the COVID-19 pandemic.
The peer-reviewed 18 long and 9 short papers included in this volume stem from the following three biomedical image analysis challenges:
- Mitosis Domain Generalization Challenge (MIDOG 2021),
- Medical Out-of-Distribution Analysis Challenge (MOOD 2021), and
- Learn2Reg (L2R 2021).
The challenges share the need for developing and fairly evaluating algorithms that increase accuracy, reproducibility and efficiency of automated image analysis in clinically relevant applications.
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Titel: Biomedical Image Registration, Domain ...
Verlag: Springer
Erscheinungsdatum: 2022
Einband: Softcover
Zustand: New
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Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis | MICCAI 2021 Challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27-October 1, 2021, Proceedings
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Taschenbuch. Zustand: Neu. Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis | MICCAI 2021 Challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27-October 1, 2021, Proceedings | Marc Aubreville (u. a.) | Taschenbuch | ix | Englisch | 2022 | Springer | EAN 9783030972806 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Artikel-Nr. 121151675
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Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis
ISBN 10: 3030972801
ISBN 13: 9783030972806
Neu
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Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
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Taschenbuch. Zustand: Neu. Neuware -This book constitutes three challenges that were held in conjunction with the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, which was planned to take place in Strasbourg, France but changed to an online event due to the COVID-19 pandemic.The peer-reviewed 18 long and 9 short papers included in this volume stem from the following three biomedical image analysis challenges:Mitosis Domain Generalization Challenge (MIDOG 2021)Medical Out-of-Distribution Analysis Challenge (MOOD 2021), andLearn2Reg (L2R 2021).The challenges share the need for developing and fairly evaluating algorithms that increase accuracy, reproducibility and efficiency of automated image analysis in clinically relevant applications.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 204 pp. Englisch. Artikel-Nr. 9783030972806
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Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis : MICCAI 2021 Challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27¿October 1, 2021, Proceedings
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Springer International Publishing, 2022
ISBN 10: 3030972801
ISBN 13: 9783030972806
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Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes three challenges that were held in conjunction with the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, which was planned to take place in Strasbourg, France but changed to an online event due to the COVID-19 pandemic. The peer-reviewed 18 long and 9 short papers included in this volume stem from the following three biomedical image analysis challenges: Mitosis Domain Generalization Challenge (MIDOG 2021), Medical Out-of-Distribution Analysis Challenge (MOOD 2021), and Learn2Reg (L2R 2021). The challenges share the need for developing and fairly evaluating algorithms that increase accuracy, reproducibility and efficiency of automated image analysis in clinically relevant applications. Artikel-Nr. 9783030972806
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