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Image Processing for Fundus Image Classification using Deep Learning |
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| รหัสดีโอไอ | |
| Creator | Songgrod Phimphisan |
| Title | Image Processing for Fundus Image Classification using Deep Learning |
| Contributor | Nattavut Sriwiboon |
| Publisher | Faculty of Engineering and Technology, Mahanakorn University of Technology |
| Publication Year | 2563 |
| Journal Title | Journal of Information Science and Technology |
| Journal Vol. | 10 |
| Journal No. | 2 |
| Page no. | 19-25 |
| Keyword | Diabetic retinopathy, Fundus image, Deep Learning, Model |
| URL Website | https://tci-thaijo.org/index.php/JIST |
| Website title | Journal of Information Science and Technology |
| ISSN | 2651-1053 |
| Abstract | This paper proposed the using a computer for classifying the diabetic retinopathy 4 diabetic severity levels: normal level, light level, medium level and severe level from the fundus image by using image processing with the deep learning. The development of the model for classification of fundus images, shown that the modeling of this paper is more accurate than previous research using machine learning. In addition, this paper uses the model developed to be a prototype. It is shown that the accuracy of the classification of the severity of the diabetic retinopathy, which can help the ophthalmologist effectively diagnose the severity of the diabetic retinopathy from the fundus image. |
