ML CNN MODEL FOR CLASSIFICATION
This project is an app that detects malignant and benign tumors in medical images, and provides the output to the user. The app uses Flutter for the front-end, and React and Node.js for the back-end.
Table of Contents Getting Started Features Technologies Used Installation Usage Contributing License Getting Started To get started with this project, you'll need to clone this repository to your local machine. Then, you'll need to install the required dependencies and run the project. The following sections provide more detailed instructions.
The Malignant Detection App includes the following features:
A user-friendly interface for uploading medical images Backend processing of uploaded images for malignant and benign detection Displaying the output of the detection process to the user Technologies Used The Malignant Detection App uses the following technologies:
Flutter for the front-end Node.js for the back-end Installation To install the Malignant Detection App, follow these steps:
Clone the repository to your local machine. Navigate to the project directory in your terminal. Install the necessary dependencies using the following command:
If you would like to contribute to the Malignant Detection App, please follow these guidelines:
Fork the repository. Create a new branch for your changes. Make your changes and commit them with descriptive commit messages. Push your changes to your forked repository. Create a pull request with a detailed description of your changes.