A Survey on Diabetic Retinopathy Lesion Detection and Segmentation
Diabetes is a global problem which impacts people of all ages. Diabetic retinopathy (DR) is a main ailment of the eyes resulting from diabetes which can result in loss of eyesight if not detected and treated on time. The current process of detecting DR and its progress involves manual examination by...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-04-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/13/8/5111 |
| _version_ | 1827745968051716096 |
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| author | Anila Sebastian Omar Elharrouss Somaya Al-Maadeed Noor Almaadeed |
| author_facet | Anila Sebastian Omar Elharrouss Somaya Al-Maadeed Noor Almaadeed |
| author_sort | Anila Sebastian |
| collection | DOAJ |
| description | Diabetes is a global problem which impacts people of all ages. Diabetic retinopathy (DR) is a main ailment of the eyes resulting from diabetes which can result in loss of eyesight if not detected and treated on time. The current process of detecting DR and its progress involves manual examination by experts, which is time-consuming. Extracting the retinal vasculature, and segmentation of the optic disc (OD)/fovea play a significant part in detecting DR. Detecting DR lesions like microaneurysms (MA), hemorrhages (HM), and exudates (EX), helps to establish the current stage of DR. Recently with the advancement in artificial intelligence (AI), and deep learning(DL), which is a division of AI, is widely being used in DR related studies. Our study surveys the latest literature in “DR segmentation and lesion detection from fundus images using DL”. |
| first_indexed | 2024-03-11T05:15:56Z |
| format | Article |
| id | doaj.art-5ba3545bdbb543469b582f36cef4a772 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-11T05:15:56Z |
| publishDate | 2023-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-5ba3545bdbb543469b582f36cef4a7722023-11-17T18:13:48ZengMDPI AGApplied Sciences2076-34172023-04-01138511110.3390/app13085111A Survey on Diabetic Retinopathy Lesion Detection and SegmentationAnila Sebastian0Omar Elharrouss1Somaya Al-Maadeed2Noor Almaadeed3Department of Computer Science and Engineering, Qatar University, Doha P.O. Box 2713, QatarDepartment of Computer Science and Engineering, Qatar University, Doha P.O. Box 2713, QatarDepartment of Computer Science and Engineering, Qatar University, Doha P.O. Box 2713, QatarDepartment of Computer Science and Engineering, Qatar University, Doha P.O. Box 2713, QatarDiabetes is a global problem which impacts people of all ages. Diabetic retinopathy (DR) is a main ailment of the eyes resulting from diabetes which can result in loss of eyesight if not detected and treated on time. The current process of detecting DR and its progress involves manual examination by experts, which is time-consuming. Extracting the retinal vasculature, and segmentation of the optic disc (OD)/fovea play a significant part in detecting DR. Detecting DR lesions like microaneurysms (MA), hemorrhages (HM), and exudates (EX), helps to establish the current stage of DR. Recently with the advancement in artificial intelligence (AI), and deep learning(DL), which is a division of AI, is widely being used in DR related studies. Our study surveys the latest literature in “DR segmentation and lesion detection from fundus images using DL”.https://www.mdpi.com/2076-3417/13/8/5111diabetic retinopathydeep learningretinal blood vessel segmentationlesion detectionretinal fundus images |
| spellingShingle | Anila Sebastian Omar Elharrouss Somaya Al-Maadeed Noor Almaadeed A Survey on Diabetic Retinopathy Lesion Detection and Segmentation Applied Sciences diabetic retinopathy deep learning retinal blood vessel segmentation lesion detection retinal fundus images |
| title | A Survey on Diabetic Retinopathy Lesion Detection and Segmentation |
| title_full | A Survey on Diabetic Retinopathy Lesion Detection and Segmentation |
| title_fullStr | A Survey on Diabetic Retinopathy Lesion Detection and Segmentation |
| title_full_unstemmed | A Survey on Diabetic Retinopathy Lesion Detection and Segmentation |
| title_short | A Survey on Diabetic Retinopathy Lesion Detection and Segmentation |
| title_sort | survey on diabetic retinopathy lesion detection and segmentation |
| topic | diabetic retinopathy deep learning retinal blood vessel segmentation lesion detection retinal fundus images |
| url | https://www.mdpi.com/2076-3417/13/8/5111 |
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