[MICCAI 2023, top 14%] Official repository of paper: Distilling BlackBox to Interpretable models for Efficient Transfer Learning
-
Updated
Aug 2, 2025 - Python
[MICCAI 2023, top 14%] Official repository of paper: Distilling BlackBox to Interpretable models for Efficient Transfer Learning
This project aims to detect pneumonia from chest X-ray images using a Convolutional Neural Network (CNN). The model is trained on a dataset of chest X-ray images and evaluated for its performance. The project is ongoing, and I aim to fine-tune the model in the future. If you are seeing this, it means I am still working on the project.
AI-powered web application for automated analysis and explainable visualization of chest X-ray images.
Various CNN's trained with the Kaggle Chest X-Ray dataset.
Chest X-Ray Lung Diseases Classification with CAM Visualization
Add a description, image, and links to the chestxray topic page so that developers can more easily learn about it.
To associate your repository with the chestxray topic, visit your repo's landing page and select "manage topics."