sabinagio/do-you-see-what-AI-see
Evaluation of a simple CNN model for glaucoma detection trained on a single public dataset against complex architectures trained on multiple public/private datasets
This project helps ophthalmologists or medical researchers evaluate how well a simple AI model can identify glaucoma from retinal fundus images. It takes raw fundus images as input and provides an assessment of whether the AI detects glaucoma. This tool is designed for medical professionals interested in the performance capabilities of machine learning in ophthalmic diagnostics.
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Use this if you are a medical professional or researcher interested in understanding the effectiveness of basic AI models for detecting glaucoma from eye scans compared to more complex systems.
Not ideal if you need a clinical-grade diagnostic tool or an AI model that performs robustly on images with optic nerve head damage.
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Sep 24, 2022
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