Classification of diabetic retinopathy stages based on neural networks
Diabetic retinopathy is one of the main side effects of diabetes, which causes severe effects, including blindness. The main challenge is the early diagnosis of this disease for timely and effective treatment. Diabetic retinopathy can be detected much faster and more accurately by using machine lear...
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| Format: | Article |
| Language: | English |
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Belarusian National Technical University
2022-12-01
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| Series: | Системный анализ и прикладная информатика |
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| Online Access: | https://sapi.bntu.by/jour/article/view/577 |
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| author | M. M. Lukashevich Y. I. Golub |
| author_facet | M. M. Lukashevich Y. I. Golub |
| author_sort | M. M. Lukashevich |
| collection | DOAJ |
| description | Diabetic retinopathy is one of the main side effects of diabetes, which causes severe effects, including blindness. The main challenge is the early diagnosis of this disease for timely and effective treatment. Diabetic retinopathy can be detected much faster and more accurately by using machine learning methods for image analyzing of the human retina. The development of methods and algorithms for the detection and classification of this disease, the automation of this process are the actual and costeffective goals.The article focuses on the classification of the stages of diabetic retinopathy using neural networks based on human retinal images. Classification problem of diabetic retinopathy stages is described.The architecture of deep neural networks based on VGG16 and VGG19 with the addition of custom layers is proposed. Recommendations for the selection of the size of the initial retinal images and the preprocessing stage (cropping) are given As a result of the performed experimental research. Analysis of the dataset was performed. Neural network models were trained and results were evaluated with class imbalance taken into account. |
| format | Article |
| id | doaj-art-16c431567d6944f6865979c67f62e4ae |
| institution | Kabale University |
| issn | 2309-4923 2414-0481 |
| language | English |
| publishDate | 2022-12-01 |
| publisher | Belarusian National Technical University |
| record_format | Article |
| series | Системный анализ и прикладная информатика |
| spelling | doaj-art-16c431567d6944f6865979c67f62e4ae2025-02-03T11:37:40ZengBelarusian National Technical UniversityСистемный анализ и прикладная информатика2309-49232414-04812022-12-0103122110.21122/2309-4923-2022-3-12-21429Classification of diabetic retinopathy stages based on neural networksM. M. Lukashevich0Y. I. Golub1Belarusian State University of Informatics and RadioelectronicsUnited Institute of Informatics Problems, National Academy of Sciences of BelarusDiabetic retinopathy is one of the main side effects of diabetes, which causes severe effects, including blindness. The main challenge is the early diagnosis of this disease for timely and effective treatment. Diabetic retinopathy can be detected much faster and more accurately by using machine learning methods for image analyzing of the human retina. The development of methods and algorithms for the detection and classification of this disease, the automation of this process are the actual and costeffective goals.The article focuses on the classification of the stages of diabetic retinopathy using neural networks based on human retinal images. Classification problem of diabetic retinopathy stages is described.The architecture of deep neural networks based on VGG16 and VGG19 with the addition of custom layers is proposed. Recommendations for the selection of the size of the initial retinal images and the preprocessing stage (cropping) are given As a result of the performed experimental research. Analysis of the dataset was performed. Neural network models were trained and results were evaluated with class imbalance taken into account.https://sapi.bntu.by/jour/article/view/577imageclassificationdiabetic retinopathyneural networks |
| spellingShingle | M. M. Lukashevich Y. I. Golub Classification of diabetic retinopathy stages based on neural networks Системный анализ и прикладная информатика image classification diabetic retinopathy neural networks |
| title | Classification of diabetic retinopathy stages based on neural networks |
| title_full | Classification of diabetic retinopathy stages based on neural networks |
| title_fullStr | Classification of diabetic retinopathy stages based on neural networks |
| title_full_unstemmed | Classification of diabetic retinopathy stages based on neural networks |
| title_short | Classification of diabetic retinopathy stages based on neural networks |
| title_sort | classification of diabetic retinopathy stages based on neural networks |
| topic | image classification diabetic retinopathy neural networks |
| url | https://sapi.bntu.by/jour/article/view/577 |
| work_keys_str_mv | AT mmlukashevich classificationofdiabeticretinopathystagesbasedonneuralnetworks AT yigolub classificationofdiabeticretinopathystagesbasedonneuralnetworks |