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Pathology Classification Website

This project provides a user interface for uploading pathology images, predicting their labels, and adding comments and annotations to specific samples. This README specifically covers the React frontend of the application.

Full Project Demo: https://www.loom.com/share/434f009b5d61432da6ca36f963c73f98

There are three separate components for this project:

  1. ML Model: https://github.com/VSTARprojects/pc_ml
  2. FrontEnd: https://github.com/VSTARprojects/pc_fe
  3. BackEnd: https://github.com/VSTARprojects/pc_dj

Prerequisites

  • Node.js and npm (Node Package Manager) installed on your machine. You can download them from the official website: https://nodejs.org/en/.
  • Access to the backend API that the React site is designed to communicate with. This API should be up and running before attempting to use the React site. (refer https://github.com/VSTARprojects/pc_dj)

Installation

To install and run the frontend, follow these steps:

  • Clone the repository to your local machine.
  • Navigate to the frontend directory in your terminal.
  • Run npm install to install the necessary dependencies.
  • Run npm start to start the development server.

Usage

Once the development server is running, you can access the website by visiting http://localhost:3000 in your web browser.