Jiang Liu, D. Wong, J. Lim, X. Jia, F. Yin, Haizhou Li, Wei Xiong, Tien Yin Wong
{"title":"从视网膜眼底图像中提取杯盘以确定杯盘比","authors":"Jiang Liu, D. Wong, J. Lim, X. Jia, F. Yin, Haizhou Li, Wei Xiong, Tien Yin Wong","doi":"10.1109/ICIEA.2008.4582835","DOIUrl":null,"url":null,"abstract":"The ratio of the optic cup to disc (CDR) in retinal fundus images is one of the principal physiological characteristics in the diagnosis of glaucoma. Currently the CDR is manually determined which can be subjective and limits its use in mass screening. To automatically extract the disc, a variational level set method is proposed in this paper. For the cup, two methods making use of color intensity and threshold level set are evaluated. A batch of 73 retinal images from the Singapore Eye Research Centre was used to assess the performance of the determined CDR to the clinical CDR, and it was found that the threshold and variational level set methods produced 97% accuracy in the determined CDR results, an 18% improvement over the color intensity method. The results indicate potential applicability of the methods for automated and objective mass screening for early detection of glaucoma.","PeriodicalId":309894,"journal":{"name":"2008 3rd IEEE Conference on Industrial Electronics and Applications","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"76","resultStr":"{\"title\":\"Optic cup and disk extraction from retinal fundus images for determination of cup-to-disc ratio\",\"authors\":\"Jiang Liu, D. Wong, J. Lim, X. Jia, F. Yin, Haizhou Li, Wei Xiong, Tien Yin Wong\",\"doi\":\"10.1109/ICIEA.2008.4582835\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The ratio of the optic cup to disc (CDR) in retinal fundus images is one of the principal physiological characteristics in the diagnosis of glaucoma. Currently the CDR is manually determined which can be subjective and limits its use in mass screening. To automatically extract the disc, a variational level set method is proposed in this paper. For the cup, two methods making use of color intensity and threshold level set are evaluated. A batch of 73 retinal images from the Singapore Eye Research Centre was used to assess the performance of the determined CDR to the clinical CDR, and it was found that the threshold and variational level set methods produced 97% accuracy in the determined CDR results, an 18% improvement over the color intensity method. The results indicate potential applicability of the methods for automated and objective mass screening for early detection of glaucoma.\",\"PeriodicalId\":309894,\"journal\":{\"name\":\"2008 3rd IEEE Conference on Industrial Electronics and Applications\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-06-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"76\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 3rd IEEE Conference on Industrial Electronics and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIEA.2008.4582835\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 3rd IEEE Conference on Industrial Electronics and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIEA.2008.4582835","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optic cup and disk extraction from retinal fundus images for determination of cup-to-disc ratio
The ratio of the optic cup to disc (CDR) in retinal fundus images is one of the principal physiological characteristics in the diagnosis of glaucoma. Currently the CDR is manually determined which can be subjective and limits its use in mass screening. To automatically extract the disc, a variational level set method is proposed in this paper. For the cup, two methods making use of color intensity and threshold level set are evaluated. A batch of 73 retinal images from the Singapore Eye Research Centre was used to assess the performance of the determined CDR to the clinical CDR, and it was found that the threshold and variational level set methods produced 97% accuracy in the determined CDR results, an 18% improvement over the color intensity method. The results indicate potential applicability of the methods for automated and objective mass screening for early detection of glaucoma.