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CS2-Net: Deep Learning Segmentation of Curvilinear Structures in Medical Imaging
2020
Medical Image Analysis
Automated detection of curvilinear structures, e.g., blood vessels or nerve fibres, from medical and biomedical images is a crucial early step in automatic image interpretation associated to the management of many diseases. Precise measurement of the morphological changes of these curvilinear organ structures informs clinicians for understanding the mechanism, diagnosis, and treatment of e.g. cardiovascular, kidney, eye, lung, and neurological conditions. In this work, we propose a generic and
doi:10.1016/j.media.2020.101874
pmid:33166771
fatcat:45ud25vwyfhkdmihddossl6l5e