Explainable AI framework for visualizing and interpreting deep learning model decisions on medical imaging data, with Grad-CAM and attention map support.
- Grad-CAM heatmap generation for CNN predictions
- Attention visualization for transformer models
- Multi-class explanation support
- Interactive Jupyter notebook interface
- Medical report generation with annotated images
- Support for DICOM and standard image formats
Python, TensorFlow, Keras, Jupyter, Matplotlib, NumPy
- Python 3.8+
- pip
git clone https://github.com/karthik-idikuda/NeuroXAI.git
cd NeuroXAI
pip install -r requirements.txtjupyter notebook NeuroXAI.ipynbThis project is licensed under the MIT License. See the LICENSE file for details.