ThisIsMrIsmail/Lung-Cancer-Detection
A convolutional neural network model that detects lung cancer disease through CT scan images, classifies it into 3 classes.
This helps radiologists or medical professionals quickly assess lung CT scan images. It takes a CT scan image as input and classifies it into one of three categories: benign, malignant, or normal. This tool is for medical practitioners involved in preliminary lung cancer screening and diagnosis.
No commits in the last 6 months.
Use this if you need a rapid, automated initial classification of lung CT scans to assist in identifying potential cancer cases.
Not ideal if you require a certified medical diagnostic tool or a solution for highly nuanced or rare lung conditions.
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Last pushed
Dec 08, 2024
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