Automatic diagnosis of selected retinal diseases based on OCT B-scan
This study aims to present the possibility of using artificial intelligence techniques to classify diseases of the posterior segment of the eye, which are visible on type B OCT cross-sections. The datasets of retinal images available on the Internet are discussed, with particular emphasis on dataset...
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| Format: | Article |
| Language: | English |
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Termedia Publishing House
2023-04-01
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| Series: | Klinika Oczna |
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| Online Access: | https://www.termedia.pl/Automatic-diagnosis-of-selected-retinal-diseases-based-on-OCT-B-scan,124,50191,1,1.html |
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| _version_ | 1832589571191209984 |
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| author | Tomasz Marciniak Agnieszka Stankiewicz |
| author_facet | Tomasz Marciniak Agnieszka Stankiewicz |
| author_sort | Tomasz Marciniak |
| collection | DOAJ |
| description | This study aims to present the possibility of using artificial intelligence techniques to classify diseases of the posterior segment of the eye, which are visible on type B OCT cross-sections. The datasets of retinal images available on the Internet are discussed, with particular emphasis on datasets useful for learning artificial neural networks, allowing for the automatic classification process. A simple yet user-friendly software called RePatClas has been developed that allows one to test the classification process for individual photos. To train the classification models, images from the publicly available LOCT dataset (version two) were used, which contains 84485 images of four classes: CNV, DME, DRUSEN, and NORMAL. The use of the RePatClas software is illustrated with examples. The prepared software allows the reader to familiarize themselves with the topic of current artificial neural network solutions. |
| format | Article |
| id | doaj-art-c9111b86657641f18f05daed62dd8f02 |
| institution | Kabale University |
| issn | 0023-2157 2719-3209 |
| language | English |
| publishDate | 2023-04-01 |
| publisher | Termedia Publishing House |
| record_format | Article |
| series | Klinika Oczna |
| spelling | doaj-art-c9111b86657641f18f05daed62dd8f022025-01-24T13:00:46ZengTermedia Publishing HouseKlinika Oczna0023-21572719-32092023-04-01126181410.5114/ko.2023.12536250191Automatic diagnosis of selected retinal diseases based on OCT B-scanTomasz MarciniakAgnieszka StankiewiczThis study aims to present the possibility of using artificial intelligence techniques to classify diseases of the posterior segment of the eye, which are visible on type B OCT cross-sections. The datasets of retinal images available on the Internet are discussed, with particular emphasis on datasets useful for learning artificial neural networks, allowing for the automatic classification process. A simple yet user-friendly software called RePatClas has been developed that allows one to test the classification process for individual photos. To train the classification models, images from the publicly available LOCT dataset (version two) were used, which contains 84485 images of four classes: CNV, DME, DRUSEN, and NORMAL. The use of the RePatClas software is illustrated with examples. The prepared software allows the reader to familiarize themselves with the topic of current artificial neural network solutions.https://www.termedia.pl/Automatic-diagnosis-of-selected-retinal-diseases-based-on-OCT-B-scan,124,50191,1,1.htmlretinal diseases choroidal neovascularization diabetic macular edema drusen screening artificial intelligence image classification deep learning |
| spellingShingle | Tomasz Marciniak Agnieszka Stankiewicz Automatic diagnosis of selected retinal diseases based on OCT B-scan Klinika Oczna retinal diseases choroidal neovascularization diabetic macular edema drusen screening artificial intelligence image classification deep learning |
| title | Automatic diagnosis of selected retinal diseases based on OCT B-scan |
| title_full | Automatic diagnosis of selected retinal diseases based on OCT B-scan |
| title_fullStr | Automatic diagnosis of selected retinal diseases based on OCT B-scan |
| title_full_unstemmed | Automatic diagnosis of selected retinal diseases based on OCT B-scan |
| title_short | Automatic diagnosis of selected retinal diseases based on OCT B-scan |
| title_sort | automatic diagnosis of selected retinal diseases based on oct b scan |
| topic | retinal diseases choroidal neovascularization diabetic macular edema drusen screening artificial intelligence image classification deep learning |
| url | https://www.termedia.pl/Automatic-diagnosis-of-selected-retinal-diseases-based-on-OCT-B-scan,124,50191,1,1.html |
| work_keys_str_mv | AT tomaszmarciniak automaticdiagnosisofselectedretinaldiseasesbasedonoctbscan AT agnieszkastankiewicz automaticdiagnosisofselectedretinaldiseasesbasedonoctbscan |