Learned local similarity prior embedding active contour model for choroidal neovascularization segmentation in optical coherence tomography images
Dear editor,Choroidal neovascularization (CNV) is characterized by the growth of new blood vessels in the choroid layer.These new blood vessels break beneath the retina and damage the surrounding retinal tissue,resulting in distorted central vision.As a useful tool for CNV evaluation,optical coherence tomography (OCT) has been widely used in recent years ”1”.Medical image segmentation is important in diagnosing diseases ”2,3”.Automatic segmentation of CNV in OCT images can improve the effectiveness of CNV quantification,which plays an important role in the diagnosis of CNV disease.
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National Natural Science Foundation of ChinaGrant 61701280;Natural Science Foundation of Shandong ProvinceGrant ZR2016FQ18;National Natural Science Foundation of ChinaGrant .61573219,81371629,61671274,61701281,61703235;Fostering Project of Dominant Discipline and Talent Team of Shandong Province Higher Education Institutions,Shandong Provincial Key Research and Development PlanGrant 2017CXGC1504;National Basic Research Program of China 973 ProgramGrant 2014CB748600
2018-10-22（万方平台首次上网日期，不代表论文的发表时间）
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