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PROF. Sang Hyun Park's group developed 'Weakly Supervised Segmentation…

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댓글 0건 조회 83회 작성일 2022-07-19 21:52

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A team lead by Prof. Sang Hyun Park (First Author: Philip Chikontwe) has recently published an article in Medical image analysis journal (IF: 13.82). They show that a deep learning-based approach for weakly supervised segmentation only using image-level labels in Histopathology slides has clinical relevance. They address the scenario where fast diagnosis is required in memory constrained settings when datasets are limited and/or contain weak annotations without infected areas highlighted. Overall, the research introduces algorithms and strategies to solve accurate biomedical data segmentation, robust feature extraction and analysis. The findings presented will appeal to the research community applying machine/deep learning for histopathology analysis including other imaging modalities.