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[Communications in Computer and Information Science] Advances in Signal Processing and Intelligent Recognition Systems Volume 968 (4th International Symposium SIRS 2018, Bangalore, India, September 19–22, 2018, Revised Selected Papers) || A Comprehensive Review on Automatic Diagnosis of Diabetic Maculopathy in Retinal Fundus Images
摘要： Diabetic Maculopathy (DM) is one of the major problems of diabetes mellitus and it is one of the key reasons for the vision problem. It arises due to the leakage of blood from injured retinal veins. The development of DM is moderate and soundless and it is found in 10% of the world diabetic population. If diabetic maculopathy is not noticed in the underlying stage the effect this on macula is irreversible and can prompt vision loss. Therefore, screening of diabetic eye helps in finding diabetic maculopathy at the beginning stage which prevents the vision loss. In this review paper, the anatomy of the human eye and a brief overview of diabetes, diabetic retinopathy and diabetic maculopathy is presented. The literature review of various methods/techniques used for detection of DM in retinal fundus images and the performance metrics used to measure these methods are discussed in details. Issues involved in DM detection are also mentioned in this paper.
关键词： Blood vessels (BVs),Diabetic maculopathy (DM),Hard exudates (HEs),Retinopathy (DR),Optic disc (OD)
更新于2025-09-23 15:23:52
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[IEEE 2018 2nd International Conference on Engineering Innovation (ICEI) - Bangkok (2018.7.5-2018.7.6)] 2018 2nd International Conference on Engineering Innovation (ICEI) - Diabetic retinopathy fundus image classification using discrete wavelet transform
摘要： Diabetes is an incurable disease which erodes away body slowly, this disease in becoming common and becoming a cause of social distress. The only solution to this problem is early detection of disease and take precautionary measure to keep its effects to minimum. Since it affects various parts of body, the affected organ also includes eye which is very sensitive to any kind of distress. Diabetic Retinopathy effects of diabetes on eye retina, which includes rupturing of retina blood vessels and abnormal growth of blood vessels in retina, which ultimately causes blindness. Diabetic Retinopathy can be identified by examining the retinoscopy images. In this paper, retinoscopy images were processed using wavelet transform. Wavelet coefficients extracted from the images were obtained to identify Diabetic Retinopathy. KNN and SVM were used to classify the retinoscopy images. This papers have shown remarkable improvement as compared to previous studies, with KNN at 98.16 % accuracy and SVM at 97.85 % accuracy.
关键词： sensitivity,specificity,Discrete Wavelet Transform (DWT),accuracy,KNN,Diabetic Retinopathy (DR),histogram equalization,SVM
更新于2025-09-10 09:29:36