MehradAria/FFR-Estimation
Non-Invasive Fractional Flow Reserve Estimation using Deep Learning on Intermediate Left Anterior Descending Coronary Artery Lesion Angiography Images
This project helps clinicians non-invasively estimate Fractional Flow Reserve (FFR) values from coronary angiography images, specifically for intermediate Left Anterior Descending (LAD) artery lesions. By inputting angiography images, it classifies whether the FFR is greater than 80 or 80 and below. This tool is designed for cardiologists or medical imaging specialists to aid in diagnosing and treating coronary artery disease.
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Use this if you need a non-invasive method to quickly estimate FFR values for intermediate LAD coronary artery lesions directly from angiography images.
Not ideal if you require direct access to the underlying patient data or the pre-trained model for custom analysis, as these are not publicly available.
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Jupyter Notebook
License
LGPL-2.1
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Last pushed
Dec 14, 2024
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