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eess.IV2022
M-GenSeg: Domain Adaptation For Target Modality Tumor Segmentation With Annotation-Efficient Supervision
Malo Alefsen de Boisredon d'Assier, Eugene Vorontsov, Samuel Kadoury
Automated medical image segmentation using deep neural networks typically requires substantial supervised training. However, these models fail to generalize well across different i…
eess.IV2021★ 1.3k cited
The Medical Segmentation Decathlon
Michela Antonelli, Annika Reinke, Spyridon Bakas +55
International challenges have become the de facto standard for comparative assessment of image analysis algorithms given a specific task. Segmentation is so far the most widely inv…