Leukemia Classification

This repository contains code for leukemia classification using deep learning models VGG16 and EfficientNetB3. The project aims to classify leukemia from medical imaging data.

📂 Project Structure

Leukemia-Classification/
├── Classification_using_VGG16_EfficientNetB3.ipynb  # Main notebook for training and evaluation
├── data/                                            # Dataset folder (not included in the repo)
├── results/                                         # Results and visualizations
├── requirements.txt                                 # Python dependencies
└── LICENSE                                          # License file

📊 Dataset

The dataset used for this project contains high-resolution medical images of leukemia.
Dataset Source: CNMC
Download Dataset

Note: Due to size limitations, the dataset is not included in this repository. After downloading, place the dataset in the data/ folder.

⚙️ Requirements

Install the required dependencies by running:

pip install -r requirements.txt

🚀 Usage

Follow these steps to run the project:

1. Clone the repository:

   git clone https://github.com/NikhilPatil0007/Leukemia-Classification.git
   cd Leukemia-Classification

2. Download the dataset and place it in the data/ folder.

3. Open the notebook in Jupyter:

   jupyter notebook Classification_using_VGG16_EfficientNetB3.ipynb

4. Follow the instructions in the notebook to preprocess data, train the models, and evaluate the results.

💡 Future Work

• Experiment with additional deep learning models.
• Implement advanced augmentation techniques to improve accuracy.
• Explore deployment options for real-time predictions.

🤝 Contributing

Contributions are welcome! Feel free to fork the repository, raise issues, or submit a pull request.

📄 License

This project is licensed under the MIT License. See the LICENSE file for more details.

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