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Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis
Marc Aubreville, David Zimmerer, Mattias Heinrich, 978-3-030-97281-3, 978-3-030-97280-6, 3030972801, 978-3030972806, 978-3030972806, B09TQTDQ4Y
English | 2022 | PDF | 33 MB | 201 Pages
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.