Automatic cone photoreceptor segmentation using graph theory and dynamic programming.
Automatic cone photoreceptor segmentation using graph theory and dynamic programming.
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DOI：
10.1364/boe.4.000924
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发表时间：
2013-06-01
影响因子：
3.4
通讯作者：
Farsiu S
中科院分区：
文献类型：
--
作者：
Chiu SJ;Lokhnygina Y;Dubis AM;Dubra A;Carroll J;Izatt JA;Farsiu S
Geometrical analysis of the photoreceptor mosaic can reveal subclinical ocular pathologies. In this paper, we describe a fully automatic algorithm to identify and segment photoreceptors in adaptive optics ophthalmoscope images of the photoreceptor mosaic. This method is an extension of our previously described closed contour segmentation framework based on graph theory and dynamic programming (GTDP). We validated the performance of the proposed algorithm by comparing it to the state-of-the-art technique on a large data set consisting of over 200,000 cones and posted the results online. We found that the GTDP method achieved a higher detection rate, decreasing the cone miss rate by over a factor of five.
