Detection and classification of Non-Proliferative Diabetic Retinopathy using a Back-Propagation neural network
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| Format: | Artículo científico |
| Language: | en |
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Universidad de Antioquia
2015
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| _version_ | 1876452837526863872 |
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| author | Jesús Salvador Velázquez-González |
| author_facet | Jesús Salvador Velázquez-González |
| contents | Detection and classification of Non-Proliferative Diabetic Retinopathy using a Back-Propagation neural network Jesús Salvador Velázquez-González Alberto Jorge Rosales-Silva Francisco Javier Gallegos-Funes Guadalupe de Jesús Guzmán-Bárcenas Ingeniería fundus images early diagnosis Diabetic Retinopathy automatically identification One of the most serious complications of type 2 Diabetes Mellitus (DM) is the Diabetic Retinopathy (DR). DR is a silent disease and is only recognized when the changes on the retina have progressed to a level at which treatment turns complicate, so an early diagnosis and referral to an ophthalmologist or optometrist for the management of this disease can prevent 98% of severe visual loss. The aim of this work is to automatically identify Non Diabetic Retinopathy (NDR), and Background Retinopathy using fundus images. Our results show a classification accuracy of 92%, with sensitivity and specifity of 95%. 2015 artículo científico 0120-6230 https://www.redalyc.org/articulo.oa?id=43038629007 en http://www.redalyc.org/revista.oa?id=430 Revista Facultad de Ingeniería Universidad de Antioquia application/pdf Universidad de Antioquia Revista Facultad de Ingeniería Universidad de Antioquia (Colombia) Num.74 |
| format | Artículo científico |
| id | redalyc_43038629007 |
| institution | Redalyc |
| language | en |
| publishDate | 2015 |
| publisher | Universidad de Antioquia |
| spellingShingle | Detection and classification of Non-Proliferative Diabetic Retinopathy using a Back-Propagation neural network Jesús Salvador Velázquez-González Ingeniería fundus images early diagnosis Diabetic Retinopathy automatically identification Detection and classification of Non-Proliferative Diabetic Retinopathy using a Back-Propagation neural network Jesús Salvador Velázquez-González Alberto Jorge Rosales-Silva Francisco Javier Gallegos-Funes Guadalupe de Jesús Guzmán-Bárcenas Ingeniería fundus images early diagnosis Diabetic Retinopathy automatically identification One of the most serious complications of type 2 Diabetes Mellitus (DM) is the Diabetic Retinopathy (DR). DR is a silent disease and is only recognized when the changes on the retina have progressed to a level at which treatment turns complicate, so an early diagnosis and referral to an ophthalmologist or optometrist for the management of this disease can prevent 98% of severe visual loss. The aim of this work is to automatically identify Non Diabetic Retinopathy (NDR), and Background Retinopathy using fundus images. Our results show a classification accuracy of 92%, with sensitivity and specifity of 95%. 2015 artículo científico 0120-6230 https://www.redalyc.org/articulo.oa?id=43038629007 en http://www.redalyc.org/revista.oa?id=430 Revista Facultad de Ingeniería Universidad de Antioquia application/pdf Universidad de Antioquia Revista Facultad de Ingeniería Universidad de Antioquia (Colombia) Num.74 |
| title | Detection and classification of Non-Proliferative Diabetic Retinopathy using a Back-Propagation neural network |
| topic | Ingeniería fundus images early diagnosis Diabetic Retinopathy automatically identification |
| url | https://www.redalyc.org/articulo.oa?id=43038629007 |