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

Beschreibung

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.

Autor*in

Marc Aubreville

Themen in »Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis«

anomaly localization artificial intelligence computer vision domain shift and generalization image analysis image processing image quality image reconstruction image segmentation machine learning multi-modality neural networks object detection optimisation pattern recognition

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