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, Proceedin
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, Proceedin
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Lecture Notes in Computer Science Image Processing, Computer Vision, Pattern Recognition, and Graphics
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 | David Zimmerer | Mattias Heinrich
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.
| Publication Date: | 02 March 2022 |
| Publisher: | Springer International Publishing |
| Imprint: | Springer |
| ISBN-13: | 9783030972806 |
| Format: | Paperback softback |
| Page Count: | 194 |