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- W1970778851 abstract "Arteriolosclerosis is one cause of acquired blindness. Retinal fundus image examination is useful for early detection ofarteriolosclerosis. In order to diagnose the presence of arteriolosclerosis, the physicians find the silver-wire arteries, thecopper-wire arteries and arteriovenous crossing phenomenon on retinal fundus images. The focus of this study was todevelop the automated detection method of the arteriovenous crossing phenomenon on the retinal images. The bloodvessel regions were detected by using a double ring filter, and the crossing sections of artery and vein were detected byusing a ring filter. The center of that ring was an interest point, and that point was determined as a crossing section whenthere were over four blood vessel segments on that ring. And two blood vessels gone through on the ring were classifiedinto artery and vein by using the pixel values on red and blue component image. Finally, V 2 -to-V 1 ratio was measured forrecognition of abnormalities. V 1 was the venous diameter far from the blood vessel crossing section, and V 2 was thevenous diameter near from the blood vessel crossing section. The crossing section with V 2 -to-V 1 ratio over 0.8 wasexperimentally determined as abnormality. Twenty four images, including 27 abnormalities and 54 normal crossingsections, were used for preliminary evaluation of the proposed method. The proposed method was detected 73% ofcrossing sections when the 2.8 sections per image were mis-detected. And, 59% of abnormalities were detected bymeasurement of V 1 -to-V 2 ratio when the 1.7 sections per image were mis-detected." @default.
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- W1970778851 date "2011-03-03" @default.
- W1970778851 modified "2023-09-23" @default.
- W1970778851 title "Automatic arteriovenous crossing phenomenon detection on retinal fundus images" @default.
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- W1970778851 doi "https://doi.org/10.1117/12.877232" @default.
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