文章基本信息

标题：Diabetic Retinopathy Detection and Classification Techniques
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作者：S. Ushanandhini ; S. Uma ; G. Anisha 等
期刊名称：Indian Journal of Innovations and Developments
印刷版ISSN：2277-5382
电子版ISSN：2277-5390
出版年度：2016
卷号：5
期号：1
页码：1-4
语种：English
出版社：Indian Society for Education and Environment
摘要：Objectives: The main objective of this research is to find out the diabetic retinopathy from retinal image with better accuracy. Methods: The analysis has been done by various methods to provide the efficient diabetic retinopathy detection results. The different effective techniques are considered to find the suitable most efficient technique. Findings: The various research works has been analyzed and evaluated. From the analysis, the Detecting Diabetes Mellitus and Nonproliferative Diabetic Retinopathy from tongue image is found to be better for Diabetic Retinopathy detection and also superior performance is achieved in terms of computational accuracy, precision , recall and Fmeasure. Application/Improvements: Detecting Diabetes Mellitus and Nonproliferative Diabetic Retinopathy from tongue image are provides better result than other approaches.
其他摘要：Objectives: The main objective of this research is to find out the diabetic retinopathy from retinal image with better accuracy. Methods: The analysis has been done by various methods to provide the efficient diabetic retinopathy detection results. The different effective techniques are considered to find the suitable most efficient technique. Findings: The various research works has been analyzed and evaluated. From the analysis, the Detecting Diabetes Mellitus and Nonproliferative Diabetic Retinopathy from tongue image is found to be better for Diabetic Retinopathy detection and also superior performance is achieved in terms of computational accuracy, precision , recall and Fmeasure. Application/Improvements: Detecting Diabetes Mellitus and Nonproliferative Diabetic Retinopathy from tongue image are provides better result than other approaches.
关键词：Diabetic Retinopathy; Feature Extraction; Classification.