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An X-Ray radio graph enhancer implemented using Deep Learning

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Final Year Major Project

Project members:

  • Abhiram Deshpande
  • Avishkar Ghadge
  • Rutuja Kadam
  • Prasad Suryawanshi

Project Title:

Enhancement of X-Ray radio graphs using Deep Learning

Project Description :

Welcome to the project EnRadio. The corresponding repository contain code for both Front-End and Back-End of the project with each folder name suggesting the underlying category they belong to.

Getting started with the project

Following steps will help you to get started with this project on your local machine.

  1. Clone the repository:
    git clone https://github.com/Abhiram-Deshpande/EnRadio.git

  2. After clonning, you need to install dependencies for both Front-end and Back-End part:

    • For Front-End part go to project-frontend (make sure that you have latest version of NodeJs installed):
      npm install
    • For Back-End part go to project-backend (make sure that you have latest version of Django installed):
      pip install -r requirements.txt
  3. To start the Node development server for serving front-end : npm run start

  4. To start the Django development server for serving back-end : python3 manage.py runserver

Contribution Guidelines:

It is highly advised to first clone this repository and ten start contributing instead of creating local history of commits.

Instructions

  • Fork this repository
  • Clone your forked repository
  • Add your scripts
  • Commit and push
  • Create a pull request
  • Star this repository
  • Wait for pull request to merge

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An X-Ray radio graph enhancer implemented using Deep Learning

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