SmartScan

Project Description

This web Application completely built on MERN stack.

• It is built as cloud platform for LVPEI so that Diagnostic centres can send the scan slides(mostly dicom files) of the patient in order to standardize the data.
• This website contains in-built dicom viewer, to view images.
• Multiple images/files can be uploaded/ downloaded at same time
• This application has 4 user roles to manage the activity.

Getting Started

These instructions will help you in getting the application running as local host and deploying in production on a privately hosted linux server.

Prerequisites

This application requires node >=10.x and npm >=6.9.x installed on your machine.

Instructions for running the application in development environment

• MRIStream
  • config
    • keys_dev.js(create this file)

In keys_dev.js add the following code

module.exports = {
   mongoURI: 'YOUR_DATABASE_KEY',
   secretOrKey: 'YOUR_SECRET_OR_KEY',
   LVPEI_API_KEY: 'DATABASE_API_URI_HERE'
 };

After these files are added run the following commands from project folder

• npm install It installs all the server node_modules
• npm install client-install It installs the client node_modules
• npm run dev It runs server and client on 5000 and 3000 port respectively

Instructions for running the app in production server

• npm install It installs all the server node_modules
• npm install client-install It installs the client node_modules
• cd client get to client directory
• npm run build Create optimized production build of react
• cd .. Get back
• In case of ubuntu server:

    NODE_ENV='production' PORT=3000 MONGO_URI="YOUR_DATABASE_STRING_HERE" 
    SECRET_OR_KEY='SECRET_OR_KEY_HERE' 
    API_KEY='PATIENT_URI_HERE' nodejs server.js

• In case of other OS:

    NODE_ENV='production' PORT=3000 MONGO_URI="YOUR_DATABASE_STRING_HERE" 
    SECRET_OR_KEY='SECRET_OR_KEY_HERE' 
    API_KEY='PATIENT_URI_HERE' node server.js

That's it you are set up...........

Author

Sai Sharan Tangeda - Github profile

Offline Tumor, orbital Volume of eye Analysis Tools

If you would like to take a look at our offline volume/ distance analysis tool. below is the Link. Git Hub Repository Link

Acknowledgements

I would like to thank Dr. Tarjani Vivek Dave and Dr. Vipin Das for their support and guidance in building the application.

Copyrights

• This code can be used by any individual for development purposes without consent of author(#Keeps the spirit alive!!!).
• But any organization or individual of any kind other than LVPEI or the Author using it for commercial purposes must take permission of the author or above mentioned Dr. Tarjani Vivek Dave.