This repository contains a Python project that uses the Naive Bayes classification algorithm to classify tumors as benign or malignant based on medical images. This is a valuable tool for healthcare professionals, data scientists, and anyone interested in medical image analysis.
To run this project, you need to have Python 3 and scikit-learn installed. You can install the required packages using pip:
pip install -r requirements.txt- Clone this repository:
git clone https://github.com/Prometheussx/Cancer_Classification_NaiveBayes.git
- Navigate to the project directory.
- Run the Jupyter notebook or Python script to see the classification in action.
The tumor classification model is trained on a dataset of medical images. You can find the dataset here
We welcome contributions from the community. If you'd like to contribute to this project, please check our contribution guidelines.
This project is licensed under the MIT License. See the MIT LICENSE file for details.
For questions or further information, feel free to contact us at Mail.