Detection of Diabetic Retinopathy using Splat Feature Classification in Fundus Image
نویسندگان
چکیده
Automated detection of retinal hemorrhages in fundus image[2] is crucial step towards early detection or screening is difficult among large population. A novel splat feature classification method is introduced to detect retinal hemorrhages. Classification is been achieved through supervised learning approaches. The performance of sensitivity and specificity is been improved while processing with retinal hemorrhages than with lesions. An area under receiver operating characteristics curve (ROC) of 0. 96 can be achieved at splat level and 0. 87 at image level.
منابع مشابه
Splat Feature Classification with Retinal Hemorrhage Detection in Diabetic Patients
First Author M. Kayalvizhi* Post Graduates Student P.G. Department of Computer Science Govt . Arts College, Melur 625 106 Email :[email protected] Second Author T.Balaji* Assistant Professor P.G.Department of Computer Science, Govt . Arts College, Melur 625 106. Email:[email protected] -------------------------------------------------------------------------Abstract-------------------...
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