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Modified OHIF Viewer with an extension for call an API who perform AI and create RTStruct for DICOMS instances

License: GNU General Public License v3.0

JavaScript 38.35% Shell 0.14% HTML 1.00% Dockerfile 0.08% TypeScript 56.55% CSS 1.46% MDX 2.42%
api deep-learning extension ohif-viewer unetr-segmentation

brainmetasegmentatorui-front's Introduction

A brief introduction:

Master's 2 Student in Artificial Intelligence, Data Analysis, Health Access

My portfolio

My curriculum vitae

I will never stop learning and questioning myself, Never Settle.

I am always willing to collaborate and participate in small projects!

I'm tenacious and autonomous, I train myself using tutorials found on the internet.

I love sharing the music I listen to, every month I upload a playlist of the songs I listen to on my YouTube channel.

I'm looking to contribute to Open-Source projects and am interested in AI and mobile/web applications.

My current level of study: Bachelor's degree in Computer Science

My readings related to computer science:

  • Don't Make Me Think (Revisited) - Steve Krug
  • Dans le cerveau du gamer - Celia Hodent
  • Behave (The Biology of Humans at Our Best and Worst) - Robert Sapolsky
  • Introduction to Algorithms - Thomas Cormen, Charles Leiserson, Ronald Rivest, Clifford Stein
  • Superintelligence - Nick Bostrom
  • Black Swan - Nassim Taleb
  • Bullshit Jobs - David Graeber

I work on MacOS with Warp terminal

I am also ready to work remotely.

Programming languages and technologies

android bash c git graphql java javascript

mariadb mongodb mysql

php postgresql

reactnative typescript

I also know a lot of other things, I have networking skills, I can do video editing, use virtual machines, and so on...

Contact

Gmail LinkedIn

brainmetasegmentatorui-front's People

Contributors

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Forkers

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brainmetasegmentatorui-front's Issues

Segmentation result display

Hi,
I tried to integrate my own two-dimensional segmentation model and found that the console logs were able to correctly segment, but the front page still couldn't display any segmentation results.
Therefore, I think something may be wrong with my integrate way.
So, I assigned a segmentation result directly on your initial code, which means the input CT data doesn't go through the model, but the front page still can't display the result. I would like to know why this is happening and if there are any steps that haven't been set up properly.
Here are some debug log for reference:
1.result assignment:
8fd3cbf5dce66e1d05698732f4f3dfe
2.the back-end log:
043984991645ec91b7146304dd2b08e
3.the front-end page:
image

help me!

Unable to query for studies at this time. Check your data source configuration or network connection

about the segmentation result

Hello,
after the segmentation, the segmentation result seems can not be shown, could you tell me why and how to solve this problem?
the followings are some debug log:
the back-end:
image
the front-end:
image

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