| Autor: |
Amel, Ben Khelfallah, Mahammed, Messadi, Amine, Lazouni Mohammed El |
| Zdroj: |
International Journal of Medical Engineering and Informatics; 2024, Vol. 16 Issue: 1 p34-46, 13p |
| Abstrakt: |
Diabetic macular oedema (DME) and age-related macular degeneration (AMD) are the leading causes of blindness in adults. The most significant signs of these diseases are appearance of exudates and change of retinal layer structure. Screening of these diseases is very important to prevent vision loss. In this work, a new method based on a genetic k-means algorithm for lesions detection is proposed. From the selected region of interest (ROI), four textural features are extracted and used to classify these two retinal diseases against the normal subjects using the SD-OCT images. From the experimental results found, the SVM gives better results for AMD and DME recognition. The mean accuracy, sensitivity and specificity values for the macular region's classification are 99.67%, 100% and 99.51% respectively. |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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