anwai98/Retinal-Lesion-Segmentation
Retinal Lesions (Microaneurysms, Hard Exudates, Soft Exudates, Hemorrhages) Segmentation using Deep Learning Pipeline and Image Processing & Machine Learning Pipeline
This project helps ophthalmologists and eye care professionals automatically identify and outline different types of retinal lesions in medical images. It takes raw retinal scans as input and highlights specific lesions like microaneurysms, hard exudates, soft exudates, and hemorrhages. This tool is designed for clinicians and researchers who need precise lesion segmentation for diagnosis, treatment planning, or disease progression monitoring.
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Use this if you need to precisely segment and classify retinal lesions in fundus images to aid in the diagnosis and management of conditions like diabetic retinopathy.
Not ideal if you require a certified medical device for direct patient diagnosis without expert oversight, as this is an open-source research tool.
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Python
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Apr 27, 2022
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