#

grad-cam-interpretability

Here are 3 public repositories matching this topic...

Christian-Stefan / Synthetic-Data-Based-Lung-Nodule-Classification-Using-Deep-Learning

This repository is the home of a comprehensive work carried out in an attempt to reconstruct and classify cancerous nodules located on parenchyma (the lung tissue) using a D.L. model that was entirely developed using synthetic MRI data. The project was conducted alongside three other colleagues, Vani, Aidan, and Ma Lan.

deep-neural-networks deep-learning synthetic-biology healthcare synthetic-images cancer-research synthetic-data cancer-detection explainable-ai cancer-prediction healthcare-data healthcare-ai cancer-classification grad-cam-visualization explainable-ai-in-medical-imaging synthetic-mri explainable-ai-grad-cam grad-cam-interpretability

Updated Aug 16, 2026

Biolab-PoliTO / XAI-STIM

eXplainable Artificial Intelligence for SubThalamic nucleus Intraoperative Mapping

deep-learning parkinsons-disease explainable-ai deep-brain-stimulation multicentric intraoperative-recordings expert-validation cross-domain-generalization grad-cam-interpretability

Updated Oct 12, 2026
Jupyter Notebook

ahmedmajeedbadeni-Baloch / fashion-mnist-cnn-XAI

CNN image classifier with LIME, SHAP, Integrated Gradients, and Grad-CAM explainability on Fashion-MNIST

machine-learning deep-neural-networks computer-vision deep-learning cnn-keras nueral-networks cnn-classification fashion-mnist explainable-ai fashion-mnist-dataset xai-lime-shap grad-cam-interpretability

Updated Jul 20, 2026
Jupyter Notebook

Add this topic to your repo

To associate your repository with the grad-cam-interpretability topic, visit your repo's landing page and select "manage topics."