Kuljanova, Shukurjon and Khujayev, Otabek (2024) Medical Image Processing and Deep Learning Models and Algorithms. (For Eye Diseases). Multidisciplinary Journal of Science and Technology; Vol. 4 No. 7 (2024): MULTIDISCIPLINARY JOURNAL OF SCIENCE AND TECHNOLOGY; 55-63.
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Abstract
Medical image processing and deep learning models are revolutionizing the field of ophthalmology. These techniques enhance the accuracy and efficiency of diagnosing eye diseases by analyzing vast amounts of imaging data. This paper reviews the latest advancements in medical image processing and deep learning algorithms specifically applied to eye diseases, highlighting their applications, benefits, and challenges.
| Item Type: | Article |
|---|---|
| Additional Information: | Imported from Multidisciplinary Journal of Science and Technology |
| SWORD Depositor: | Admin User |
| Depositing User: | Admin User |
| Date Deposited: | 03 Oct 2026 21:10 |
| Last Modified: | 03 Oct 2026 21:10 |
| URI: | https://universalpublishings.uz/id/eprint/19980 |
