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medical-imaging-datasets

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This project leverages U-Net for lung region segmentation and CNN for cancer classification using CT scan images. It aims to enhance lung cancer detection accuracy through deep learning techniques. The model achieved 97% accuracy and has been validated with a comprehensive dataset.

  • Updated Jan 4, 2025
  • Jupyter Notebook

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