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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.

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posted on 2020-09-11, 17:45 authored by Mohammad H. Bawany, Li Ding, Rajeev S. Ramchandran, Gaurav Sharma, Charles C. Wykoff, Ajay E. Kuriyan

From 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.

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