https://github.com/ashwani-rathee/brain-tumor-segmentation

Made with Python, OpenCV, Pytorch, NodeJS, Flask, Google Cloud Platform. MHacks'21 : Best Medical Hack category
https://github.com/ashwani-rathee/brain-tumor-segmentation

flask gcp hacktoberfest heroku python pytorch

Last synced: about 2 months ago
JSON representation

Made with Python, OpenCV, Pytorch, NodeJS, Flask, Google Cloud Platform. MHacks'21 : Best Medical Hack category

• Host: GitHub
• URL: https://github.com/ashwani-rathee/brain-tumor-segmentation
• Owner: ashwani-rathee
• License: gpl-3.0
• Created: 2021-10-16T03:47:47.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2023-02-10T12:55:50.000Z (almost 2 years ago)
• Last Synced: 2024-10-13T23:29:01.957Z (3 months ago)
• Topics: flask, gcp, hacktoberfest, heroku, python, pytorch
• Language: Jupyter Notebook
• Homepage:
• Size: 7.64 MB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# CAD enabled brain tumor segmentation tool

Annotater tool for Brain Tumor which creates the initial mask using deep learning and provides 

tool to work with on the mask after initial mask using Plotly and dash.

It's supposed to help with the work of radiologists to reduce the error and reduce repetive work.

### Four Main Components:

- `Model`: Holds details regarding the model that was trained and other details. Model is written in pytorch(UNET) and used figshare dataset.

- `segment_server`: Flask server that serves the inference model using REST api

- `vectorization_server`: NodeJs-Express server that converts Raster images to Vector Image svg path. These svg path are the masks that can can overlaid on the orginal tumor for annotation purpose

- `annotation_client`: Dash app that provides the front-end to work with the segmentation server and allows for manual annoation after automatic annoation annotation is done by model.

#### Plan of Action: