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Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis: MICCAI 2021 Challenges: MIDOG 2021, MOOD Learn2Reg Held Conjunction with Strasbourg, France, September 27-October 1, ProceedingsBiomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis: MICCAI 2021 Challenges: MIDOG 2021, MOOD Learn2Reg Held Conjunction with Strasbourg, France, September 27-October 1, Proceedings

Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis: MICCAI 2021 Challenges: MIDOG 2021, MOOD Learn2Reg Held Conjunction with Strasbourg, France, September 27-October 1, Proceedings in Chattanooga, TN

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Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis: MICCAI 2021 Challenges: MIDOG 2021, MOOD Learn2Reg Held Conjunction with Strasbourg, France, September 27-October 1, Proceedings

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Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis: MICCAI 2021 Challenges: MIDOG 2021, MOOD Learn2Reg Held Conjunction with Strasbourg, France, September 27-October 1, Proceedings in Chattanooga, TN

By Barnes & Noble

Current price: $59.99
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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.
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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