FastGeodis: Fast Generalised Geodesic Distance Transform

Python C++ Cuda Submitted 27 June 2022Published 23 November 2022
Review

Editor: @vissarion (all papers)
Reviewers: @jacobmerson (all reviews), @dataplayer12 (all reviews)

Authors

Muhammad Asad (0000-0002-3672-2414), Reuben Dorent (0000-0002-7530-0644), Tom Vercauteren (0000-0003-1794-0456)

Citation

Asad et al., (2022). FastGeodis: Fast Generalised Geodesic Distance Transform. Journal of Open Source Software, 7(79), 4532, https://doi.org/10.21105/joss.04532

@article{Asad2022, doi = {10.21105/joss.04532}, url = {https://doi.org/10.21105/joss.04532}, year = {2022}, publisher = {The Open Journal}, volume = {7}, number = {79}, pages = {4532}, author = {Muhammad Asad and Reuben Dorent and Tom Vercauteren}, title = {FastGeodis: Fast Generalised Geodesic Distance Transform}, journal = {Journal of Open Source Software} }
Copy citation string · Copy BibTeX  
Tags

PyTorch Deep Learning Medical Imaging Distance Transform

Altmetrics
Markdown badge

 

License

Authors of JOSS papers retain copyright.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Creative Commons License

Table of Contents
Public user content licensed CC BY 4.0 unless otherwise specified.
ISSN 2475-9066