Evolution Rules of GPU-Accelerated Cellular Automata for Multichannel Segmentation of Brain Tumors in Multimodal Magnetic Resonance Imaging

CUDA kernels for fast CA evolution + Matlab invocation scripts.

Using this code for scientific publications requires attribution and citation of the document:

Evolution Rules of Deterministic Cellular Automata for Multichannel Segmentation of Brain Tumors in MRI

Antonio Rueda Toicen, Rhadamés Carmona, Miguel Martín Landrove, Wuilian Torres

Proceedings of the CIMENICS 2014, SVMNI, pages PI25-PI30, ISBN 978-980-7161-04-6, 2014

Bibtex entry:

inproceedings{rueda-toicen2014,
  author = {Antonio Rueda-Toicen and Rhadames Carmona and Miguel Martin Landrove and Wuilian Torres},
  title = {Evolution Rules of Deteministic Cellular Automata for Multichannel Segmentation of Brain Tumors in MRI},
  booktitle = {Proceedings of CIMENICS XII},
  publisher = {Sociedad Venezolana de M\'{e}todos Num\'{e}ricos en Ingenier\'{i}a},
  pages = {PI25--PI30},
  year = {2014}
}

Curated test datasets can be found here

Full results of tests can be found here

Code is under the GNU LGPL v3 license

Corresponding author, codebase maintainer, and copyright owner:

-Antonio Rueda Toicen

antonio.rueda.toicen [at] gmail dot com