Some investigations on classification and analysis of diabetic retinopathy for implementation of computer aided medical decision support system

Abstract

Recent developments in the computerized analysis of medical images have enhanced various diagnostic tasks and provide valuable information for the healthcare experts Earlier the analysis of the medical images was performed by ophthalmologists and analysis was limited due to the non systematic search pattern of humans the presence of noise in the image and the complexity of the disease This has motivated the integration of image data and clinical information to develop the computer aided diagnosis CAD system This approach is considered as a second opinion in detecting lesions assessing extent of disease and supporting the diagnostic decisions for improving the healthcare systems newlineIn the recent years mortality due to Diabetic Retinopathy has increased The effective use of computer aided decision support system is expected to help the ophthalmologists to detect the early stage of Diabetic Retinopathy to reduce blindness caused by it The retinal image screening is an effective technique to classify the retinal image and its grading Many techniques have been used to develop various decision support systems newlineIn the present work SVM and Rule based classifier have been used to implement a Computer aided Decision Support System to assist the ophthalmologists newline newline