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Published in 2022 at "Medical physics"
DOI: 10.1002/mp.15546
Abstract: PURPOSE Accurately segmenting curvilinear structures, e.g., retinal blood vessels or nerve fibers, in the medical image is essential to the clinical diagnosis of many diseases. Recently, deep learning has become a popular technology to deal…
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Keywords:
multi convlstm;
segmentation;
curv net;
curvilinear structure ... See more keywords
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Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3155954
Abstract: Segmentation of curvilinear structures is important in many applications, such as retinal blood vessel segmentation for early detection of vessel diseases and pavement crack segmentation for road condition evaluation and maintenance. Currently, deep learning-based methods…
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Keywords:
curvilinear;
segmentation;
curvilinear structure;
intensity order ... See more keywords