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- W2952683076 abstract "Diabetic retinopathy is a serious microvascular disorder that might result in loss of vision and blindness. It seriously damages the retinal blood vessels and reduces the light-sensitive inner layer of the eye. Due to the manual inspection of retinal fundus images on diabetic retinopathy to detect the morphological abnormalities in Microaneurysms (MAs), Exudates (EXs), Haemorrhages (HMs), and Inter retinal microvascular abnormalities (IRMA) is very difficult and time consuming process. In order to avoid this, the regular follow-up screening process, and early automatic Diabetic Retinopathy detection are necessary. This paper discusses various methods of analysing automatic retinopathy detection and classification of different grading based on the severity levels. In addition, retinal blood vessel detection techniques are also discussed for the ultimate detection and diagnostic procedure of proliferative diabetic retinopathy. Furthermore, the paper elaborately discussed the systematic review accessed by authors on various publicly available databases collected from different medical sources. In the survey, meta-analysis of several methods for diabetic feature extraction, segmentation and various types of classifiers have been used to evaluate the system performance metrics for the diagnosis of DR. This survey will be helpful for the technical persons and researchers who want to focus on enhancing the diagnosis of a system that would be more powerful in real life." @default.
- W2952683076 created "2019-06-27" @default.
- W2952683076 creator A5057249591 @default.
- W2952683076 creator A5083147189 @default.
- W2952683076 creator A5087961879 @default.
- W2952683076 date "2019-02-17" @default.
- W2952683076 modified "2023-09-26" @default.
- W2952683076 title "A review on computer-aided recent developments for automatic detection of diabetic retinopathy" @default.
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- W2952683076 doi "https://doi.org/10.1080/03091902.2019.1576790" @default.
- W2952683076 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31198073" @default.
- W2952683076 hasPublicationYear "2019" @default.
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