https://libeldoc.bsuir.by/handle/123456789/45832| Title: | Retinal Image Analysis for Diabetic Retinopathy Grading: Preliminarily Results |
| Authors: | Lukashevich, M. Golub, Y. Starovoitov, V. Irtaza, A. |
| Keywords: | материалы конференций;conference proceedings;diabetic retinopathy;retina image analysis;image preprocessing;machine learning;convolution neural network |
| Issue Date: | 2021 |
| Publisher: | UIIP NASB |
| Citation: | Retinal Image Analysis for Diabetic Retinopathy Grading: Preliminarily Results / Lukashevich M. [et al.] // Pattern Recognition and Information Processing (PRIP'2021) = Распознавание образов и обработка информации (2021) : Proceedings of the 15th International Conference, 21–24 Sept. 2021, Minsk, Belarus / United Institute of Informatics Problems of the National Academy of Sciences of Belarus. – Minsk, 2021. – P. 128–132. |
| Abstract: | Many eye diseases manifest themselves in the retina. Advances in Artificial intelligence (AI), especially in deep learning, improve pathological image analysis in routine clinical practice. We have developed a method for retina image analysis, based on image preprocessing stage and deep neural network as machine learning model. This is the preliminary results of big project for retina image analysis. The main focus was done for diabetic retina images. Also the scheme of new technology for retina image analysis was presented. |
| URI: | https://libeldoc.bsuir.by/handle/123456789/45832 |
| Appears in Collections: | Pattern Recognition and Information Processing (PRIP'2021) = Распознавание образов и обработка информации (2021) |
| File | Description | Size | Format | |
|---|---|---|---|---|
| Lukashevich_Retinal.pdf | 1.06 MB | Adobe PDF | View/Open |
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