Skip to content

Ignatiusboadi/medicalsegmentation

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Medical Image Segmentation

In this project, we will focus on MLOps by developing an image segmentation system for CT scans and brain MRIs specifically aimed at detecting brain tumors. The goal of this project is to assist medical practitioners in easily identifying brain tumors, including their size and location within the brain. With our system, doctors will simply need to upload the scans, and they will receive an output image highlighting the areas affected by the tumors.

User Instructions

  1. Clone the GitHub repository
  • git clone https://github.com/Ignatiusboadi/medicalsegmentation.git
    cd fmedicalsegmentation
    
  1. Create a virtual environment
  • virtualenv venv
    source venv/bin/activate
    
  1. Install the required packages
  • pip install -r requirements.txt
    
  1. To run the backend locally, run the folllowing line of code
  • uvicorn main:app --reload
    

License

This project is licensed under the MIT License. Please read the License file for more information.

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 97.5%
  • Dockerfile 2.5%