A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf
.
Trainable WEKA Segmentation of Retinal Fundus Images for Global Eye Disease Diagnosis Application
2020
International Journal of Emerging Trends in Engineering Research
Image segmentation is a challenging task and quite important in biomedical images for disease identification and measuring the progress of the disease. Segmentation and extraction of retinal blood vessels, micro aneurysms, hemorrhages, soft exudates and hard exudates have a significant attention to diagnosis various retinal related diseases especially diabetic retinopathy and glaucoma. The proposed work effectively segments the above-mentioned regions from the retinal images with Contrast
doi:10.30534/ijeter/2020/136892020
fatcat:wqmkd2oitrbb3fvsgjn32gk4xi