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    Chapter and Conference Paper

    Learning to Address Intra-segment Misclassification in Retinal Imaging

    Accurate multi-class segmentation is a long-standing challenge in medical imaging, especially in scenarios where classes share strong similarity. Segmenting retinal blood vessels in retinal photographs is one ...

    Yukun Zhou, Moucheng Xu, Yipeng Hu in Medical Image Computing and Computer Assis… (2021)

  2. Chapter and Conference Paper

    Manifold Learning of COPD

    Analysis of CT scans for studying Chronic Obstructive Pulmonary Disease (COPD) is generally limited to mean scores of disease extent. However, the evolution of local pulmonary damage may vary between patients ...

    Felix J. S. Bragman, Jamie R. McClelland in Medical Image Computing and Computer Assis… (2017)