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.
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.
![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](http://vs-images.bn-web.com/static/redesign/srcs/images/grey-box.png?v11.10.3)
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
194![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](http://vs-images.bn-web.com/static/redesign/srcs/images/grey-box.png?v11.10.3)
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
194Paperback(1st ed. 2022)
Product Details
ISBN-13: | 9783030972806 |
---|---|
Publisher: | Springer International Publishing |
Publication date: | 03/02/2022 |
Series: | Lecture Notes in Computer Science , #13166 |
Edition description: | 1st ed. 2022 |
Pages: | 194 |
Product dimensions: | 6.10(w) x 9.25(h) x (d) |