Priyansh42/Lung-Cancer-Detection
This application aims to early detection of lung cancer to give patients the best chance at recovery and survival using CNN Model.
Processes high-resolution lung CT scans through a CNN architecture trained on annotated datasets to classify lesions as benign or malignant, reducing false positives in radiological screening. The model ingests DICOM scan images paired with CSV-formatted lesion labels and outputs classification predictions with visual overlays. Built as a standalone application with sample datasets and demo capabilities for clinical validation workflows.
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81
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50
Language
Python
License
MIT
Category
Last pushed
Mar 02, 2024
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0
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