title: >-
neukit: automatic brain extraction and preoperative tumor segmentation from
MRI
colorFrom: indigo
colorTo: indigo
sdk: docker
app_port: 7860
emoji: 🧠
pinned: false
license: mit
app_file: app.py
neukit
Automatic brain extraction and preoperative tumor segmentation from MRI
neukit was developed by SINTEF Medical Image Analysis to accelerate medical AI research.
Intro
This web application enables users to test Raidionics, which is an open-source, free-to-use desktop application for pre- and postoperative central nervous system tumor segmentation and standardized reporting. The app only supports single volume input and only demonstrates the segmentation results of the Raidionics software, and thus is only meant for demonstration purposes.
For postoperative tumor segmentation, standardized reporting, and better functionality for performing analysis on full cohorts (batch mode), please, refer to the Raidionics software which is hosted here.
Demo
To access the live demo, click on the Hugging Face badge above. Below is a snapshot of the current state of the demo app.
Development
Alternatively, you can deploy the software locally. Note that this is only relevant for development purposes. Simply dockerize the app and run it:
docker build -t neukit .
docker run -it -p 7860:7860 neukit
Then open http://127.0.0.1:7860 in your favourite internet browser to view the demo.
Citation
If you found the tool useful in your research, please, cite the corresponding software paper:
@misc{bouget2023raidionics,
title={Raidionics: an open software for pre- and postoperative central nervous system tumor segmentation and standardized reporting},
author={David Bouget and Demah Alsinan and Valeria Gaitan and Ragnhild Holden Helland and André Pedersen and Ole Solheim and Ingerid Reinertsen},
year={2023},
eprint={2305.14351},
archivePrefix={arXiv},
primaryClass={physics.med-ph}
}