SHAMSUL
Application
- Title
- SHAMSUL
- Type
- Gradio App
- URL
- https://shamsul.serve.scilifelab.se
- Source code
- https://github.com/anondo1969/SHAMSUL
- Docker image
- mahbub1969/shamsul:v6
- Created
- 09 Jan, 2025
- Updated
- 19 Feb, 2025
- Description
- Explores interpretability for chest X-ray pathology predictions using methods—Grad-CAM, LIME, SHAP, and LRP. It provides heatmaps and evaluation metrics for better insights into the medical significance of predictions made by deep learning models.
- Tags
- Chest X-Ray Clinical Decision Support System Deep Learning Grad-Cam Heatmap Score Visualization Interpretability Methods Lime Lrp Shap
Creator
Mahbub Ul Alam
mahbub.ul.alam@igp.uu.se
Department of Immunology, Genetics and Pathology
Uppsala University
