Weakly-Supervised Learning With Complementary Heatmap for Retinal Disease Detection
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DOI: 10.1109/tmi.2022.3155154
Abstract: There are many types of retinal disease, and accurately detecting these diseases is crucial for proper diagnosis. Convolutional neural networks (CNNs) typically perform well on detection tasks, and the attention module of CNNs can generate… read more here.
Keywords: complementary heatmap; disease detection; retinal disease; loss ... See more keywords