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medicalimagevolume's Introduction

Summary

This repository is a web application to handle medical images in dcm (dicom) format with the purpose of calculating the volume of image segments that have a higher contrast. This application contains the api with the function to receive the uploaded image and return the volume, and the front end web application that contains a form to drag and drop the image.

Tech stack

  • Backend: FastApi
  • Frontend: Nuxt 3

Configuring the backend api

  • cd api-backend
  • docker-compose up --build (in case there is no image yet)
  • docker-compose up

Testing the api

  • docker exec -it api-backend_web_1 /bin/bash
  • pytest

Configuring the frontend web application

  • cd webapp-frontend
  • docker-compose up --build (in case there is no image yet)
  • docker-compose up

Access endpoints

Future work

This implementation only selects the regions of the image considering a single threshold value, it may lead to find false positives if health regions of the pixels have high intensity values. A better solution would involve applying convolution windows as filters and then apply the volume calculation.

medicalimagevolume's People

Contributors

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