NDarayut/Lung-Cancer-Classification-Based-on-CT-Images-Using-Hybrid-Convolutional-Neural-Network-Random-Fores
Classifying Lung Cancer using a combination of Convolutional Neural Network as features extractor and Random Forest as Classifier
This tool helps radiologists and oncologists quickly and accurately identify lung cancer by analyzing CT scan images. You input a patient's CT scan, and it classifies any detected lung nodules as 'normal', 'benign', or 'malignant'. This assists medical professionals in making faster, more informed decisions about patient care.
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Use this if you are a medical professional, specifically a radiologist or oncologist, who needs an AI-assisted second opinion to classify lung nodules from CT images.
Not ideal if you need a diagnostic tool for other forms of cancer or medical imaging, or if you are not working with CT scan data.
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Jupyter Notebook
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MIT
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Last pushed
Feb 10, 2025
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