GLAUCOMA DETECTION USING IMAGE DENOISING AND CASCADED VGG-16 SEGMENTATION FOR RETINAL IMAGES

VOLUME - 7 ISSUE - 5 JUNE- 2024
Description

Glaucoma, a leading cause of irreversible blindness worldwide, necessitates early detection to prevent vision loss. This study proposes a novel approach for automated glaucoma detection using retinal images. Image denoising with adaptive and non-ada

Keywords

glaucoma,detection,using,image,denoising,cascaded,segmentation,retinal,images

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