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High-level prior-based loss functions for medical image segmentation: A survey., , , , и . Comput. Vis. Image Underst., (2021)ENHANCE (ENriching Health data by ANnotations of Crowd and Experts): A case study for skin lesion classification., , , , и . CoRR, (2021)How I failed machine learning in medical imaging - shortcomings and recommendations., и . CoRR, (2021)Transfer Learning by Asymmetric Image Weighting for Segmentation across Scanners., , , , и . CoRR, (2017)Correction to: Interpretable and Annotation-Efficient Learning for Medical Image Computing., , , , , , , , , и 9 other автор(ы). iMIMIC/MIL3ID/LABELS@MICCAI, том 12446 из Lecture Notes in Computer Science, стр. 1. Springer, (2020)Understanding metric-related pitfalls in image analysis validation., , , , , , , , , и 68 other автор(ы). CoRR, (2023)Augmenting Chest X-ray Datasets with Non-Expert Annotations., , , , и . CoRR, (2023)Biomedical image analysis competitions: The state of current participation practice., , , , , , , , , и 41 other автор(ы). CoRR, (2022)Multi-task Learning with Crowdsourced Features Improves Skin Lesion Diagnosis., , , и . CoRR, (2020)A Survey of Crowdsourcing in Medical Image Analysis., , , , , , , , и . Hum. Comput., (2020)