frankkramer-lab/riadd.aucmedi
Multi-Disease Detection in Retinal Imaging based on Ensembling Heterogeneous Deep Learning Models
This project helps ophthalmologists and clinicians automate the detection of multiple retinal diseases from fundus images. By inputting a retinal scan, it provides a list of potential diseases and their risk levels, serving as a clinical decision support tool for eye health professionals. It's designed for medical practitioners who need to quickly and accurately identify various eye conditions.
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Use this if you are an ophthalmologist or clinician looking for an automated system to screen retinal images for a wide range of eye diseases and assist in diagnosis.
Not ideal if you need to analyze non-retinal medical images or require a tool for research unrelated to multi-disease detection in ophthalmology.
Stars
38
Forks
10
Language
Python
License
GPL-3.0
Category
Last pushed
Jul 19, 2022
Commits (30d)
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