Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis

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 및 다른 저자
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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.

장르
컴퓨터 및 인터넷
출시일
2022년
3월 1일
언어
EN
영어
길이
203
페이지
출판사
Springer International Publishing
판매자
Springer Nature B.V.
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38.5
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