pone.0238958.g002.tif (799.63 kB)
Sample results of vessel detection in UWFFA images using our automated algorithm show that the algorithm is able to detect vessels that are difficult to identify manually in low-contrast images.
figure
posted on 2020-09-11, 17:45 authored by Mohammad H. Bawany, Li Ding, Rajeev S. Ramchandran, Gaurav Sharma, Charles C. Wykoff, Ajay E. KuriyanFrom left to right: original ultra-widefield fluorescein angiography (UWFFA) image, enlarged views of rectangular regions that have low contrast, and the corresponding automatically detected vessel maps, and contrast-enhanced views. Our automated detection algorithm detects fine vessels that are difficult to manually identify in low contrast views and are verified as actual vessels by the contrast enhanced views.
History
Usage metrics
Categories
Keywords
ultra-widefield fluorescein angiographyAutomated vessel density detectionvessel densityfluorescein angiography images corr...CRTOCTbaseline vessel densitycenter-involving macular edemainput UWFFA imagesischemic eye diseasesquantifiable vessel densityPDRProliferative Diabetic Retinopathybaseline UWFFA imagesRECOVERYUWFFA imagesICCBCVAquantifying vessel densityalgorithmcorrelation