fatemafaria142/Retinal-Fundus-Classification-using-XAI-and-Segmentation
This research enhances early disease diagnosis by analyzing retinal blood vessels in fundus images using deep learning. It employs eight pre-trained CNN models and Explainable AI techniques.
This project helps medical professionals analyze retinal fundus images for early disease diagnosis. It takes a retinal image as input and outputs a classification of the image for disease detection, along with an explanation of the model's decision and a precise segmentation of retinal blood vessels. Ophthalmologists, optometrists, and diagnostic imaging specialists would use this.
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Use this if you need an automated, interpretable system to classify retinal fundus images for disease diagnosis and accurately segment blood vessels.
Not ideal if you require real-time analysis in a clinical setting without further integration or if you are looking for a solution that processes other types of medical images.
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MIT
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Last pushed
Feb 02, 2025
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