---
title: Chest Cancer Detection
emoji: 🚀
colorFrom: blue
colorTo: red
sdk: gradio
sdk_version: 5.27.0
app_file: app.py
pinned: false
license: mit
---

# Chest CT Scan Cancer Detection

This application uses a deep learning model to detect cancer in chest CT scan images. The model is based on a DenseNet121 architecture and trained on the Chest CT-Scan Images dataset from Kaggle.

## How to Use

1. Upload a chest CT scan image using the interface
2. Click "Analyze Image" to get results
3. View the prediction (Normal or Cancer) and visualization

## About the Model

- **Architecture**: Modified DenseNet121
- **Task**: Binary Classification (Normal vs. Cancer)
- **Input**: Chest CT scan images (resized to 256x256)
- **Performance**: ~90% accuracy on test set

## Limitations

- The model works best with chest CT scans similar to those in the training data
- This is a research tool and should not be used for clinical diagnosis without professional medical oversight

## Citation

If you use this model in your research, please cite:
@misc{samadov2025chestcancer,
author = {Ismat Samadov},
title = {Chest Cancer Detection Using Deep Learning},
year = {2025},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/Ismat-Samadov/chest_cancer_detection}}
}