This repository contains a Jupyter Notebook file for a medical image analysis project that focuses on malaria detection. The objective of this project is to develop a system that can accurately identify the presence of malaria parasites in blood cell images.
- Clone the repository:
git clone https://github.com/letsmakecakes/MedicallmageAnalysisforMalariaDetection.git- Navigate to the project directory:
cd your-repo- Install the required dependencies. You can use the following command to install the necessary packages:
pip install -r requirements.txt- Launch Jupyter Notebook:
jupyter notebook- Open the
malaria_detection.ipynbfile in Jupyter Notebook and run the cells.
The dataset used in this project consists of blood cell images collected from patients infected with malaria. It can be downloaded from [source URL] and should be placed in the data directory.
Open the malaria_detection.ipynb file in Jupyter Notebook and execute the cells to run the malaria detection system. The notebook contains step-by-step instructions and explanations.
After running the notebook, the system will output the results, including the classification accuracy and any detected malaria parasites in the blood cell images.
Contributions to this project are welcome. If you find any issues or have suggestions for improvements, please open an issue or submit a pull request. Let's work together to enhance this medical image analysis system.
This project is licensed under the MIT License. Feel free to use and modify the code according to your needs.