Lesion-Harvester: Iteratively Mining Unlabeled Lesions and Hard-Negative Examples at Scale
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DOI: 10.1109/tmi.2020.3022034
Abstract: The acquisition of large-scale medical image data, necessary for training machine learning algorithms, is hampered by associated expert-driven annotation costs. Mining hospital archives can address this problem, but labels often incomplete or noisy, e.g., 50%… read more here.
Keywords: lesion harvester; deeplesion; hard negative; harvester iteratively ... See more keywords