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Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis: MICCAI 2021 Challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 2021, ... Notes in Computer Science Book 13166)

Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis: MICCAI 2021 Challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 2021, ... Notes in Computer Science Book 13166)

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Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis: MICCAI 2021 Challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 2021, ... Notes in Computer Science Book 13166)

Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis: MICCAI 2021 Challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 2021, ... Notes in Computer Science Book 13166)

Category

Data Analysis

Medical Device Development

Author

Marc Aubreville

David Zimmerer

Mattias Heinrich

Publication

Springer

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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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ISBN-13

9783030972806

Publisher

Springer

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0

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PDF

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Marc Aubreville

Marc Aubreville

David Zimmerer

Mattias Heinrich

Mattias Heinrich

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