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

Aubreville, Marc (EDT); Zimmerer, David (EDT); Heinrich, Mattias (EDT)

ISBN 10: 3030972801 / ISBN 13: 9783030972806

Published by Springer, 2022

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Bibliographic Details

• Title: 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
• Publisher: Springer
• Publication Date: 2022
• Language: English
• ISBN 10: 3030972801
• ISBN 13: 9783030972806
• Binding: Soft cover
• Condition: As New

About this title

Synopsis

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.