Update README.md

README.md

@@ -1,14 +1,34 @@
----
-title: Chest Cancer Detection
-emoji: 👀
-colorFrom: yellow
-colorTo: purple
-sdk: gradio
-sdk_version: 5.27.0
-app_file: app.py
-pinned: false
-license: mit
-short_description: A deep learning project for detecting cancer in chest
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# 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}}
+}