ISBN: 9783030972806
Код товара 150409
Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis: MICCAI 2021 Challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 20
ISBN: 9783030972806
Код товара 150409
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Если Вы закажете книгу до 15.04.2024, то мы привезём её ориентировочно 05.06.2024.
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Автор
Aubreville Marc, Zimmerer David, Heinrich Mattias
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Издатель
Springer
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Тип обложки
Paperback
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Размеры
23.39 x 15.60 x 1.12 cm
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Год издания
2022
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Вес (г)
294
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ISBN
9783030972806
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Язык
ENG
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Кол-во страниц
206
О чём книга?
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.
Preface MIDOG 2021.- Domain Adversarial RetinaNet as a Reference Algorithm for the MItosis DOmainGeneralization Challenge.- Assessing domain adaptation techniques for mitosis detection in multi-scanner breast cancer histopathology images.- Domain-Robust M
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