hallowshaw/Lung-Cancer-Prediction-using-CNN-and-Transfer-Learning
A deep learning-based system for predicting lung cancer from CT scan images using Convolutional Neural Networks (CNN). This project utilizes the Xception model for image classification into four categories: Normal, Adenocarcinoma, Large Cell Carcinoma, and Squamous Cell Carcinoma.
This project offers a deep learning system to help medical professionals classify lung cancer from CT scan images. By inputting chest CT scans, the system outputs a classification into one of four categories: Normal, Adenocarcinoma, Large Cell Carcinoma, or Squamous Cell Carcinoma. It's designed for radiologists, oncologists, or pathology labs seeking automated preliminary image analysis.
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Use this if you need an automated tool to help categorize lung cancer types from medical images for diagnostic support or research.
Not ideal if you require a certified medical device for direct clinical decision-making without expert human oversight.
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Jupyter Notebook
License
MIT
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Last pushed
Jul 01, 2024
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