FADCIL is a cutting-edge deep learning framework based on YOLO and 3D U-Net, designed for the automatic detection of COVID-19 from chest CT scans. This repository provides the source code for FADCIL, which identifies and quantifies lung lesions caused by COVID-19 with high precision, differentiating them from other pulmonary diseases.
deep-neural-networks
deep-learning
image-processing
xgboost
image-classification
segmentation
classification-algorithm
lung-segmentation
clinical-decision-support
unet-image-segmentation
tomographic-images
lung-disease
covid19
yolov4
fadcil
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Updated
Jul 26, 2024 - Python