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boneage

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This project applies deep learning for Bone Age Assessment (BAA), a key process in detecting growth disorders in children. Using X-ray images, we experiment with EfficientNet, ResNet101, and Xception CNN architectures for age estimation. To improve transparency in medical AI, Grad-CAM is integrated to highlight regions influencing predictions.

  • Updated Aug 28, 2025
  • Jupyter Notebook

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