Releases: rdneuro/corticalfields
Beta release 0.2.7
Beta release 0.2.6
pointclouds modules structural reformulated
Beta version 0.2.5
v0.2.5 Add files via upload
Beta release 0.2.4
v0.2.4 Bump version from 0.2.2 to 0.2.4
Beta version 0.2.0
Important Structural Updates
** pointclouds processing module now is a "super-module", containing it's own modules and sub-modules - there was another layer in pointclouds, the module deep, which have sub-modules of it's own - aiming a workflow atlas-free and point-clouds based, instead of mesh-based, with all the tools needed for the processing of structural MRI raw images **
** an analysis "super-module" was created to be the root of all the analysis modules **
** a stats submodule of analysis was created with advanced analytical functions **
** viz become a "super-module" that is root of all four sub-modules containing visualization functions **
** old modules that became part of super-modules analysis, viz and pointcloud were transformed in shim to avoid break of code made using the old structure **
** subcortical module were expanded with new methods and processing techniques, aiming a better and comprehensive analysis of the subcortical structures **
** hippocampus module was created, with specialized methods (extracted from a extensive and meticulous research of the literature) to evaluate the morphology and structural features of hippocampi **
** cf.viz.subcortical sub-module of viz was created with special functions (results of a research of the literature aiming for informative and compelling methods to represent the subcortical structures), tailored to illustrate the results of subcortical and hippocampus modules **
** bugs with torch backend were fixed **
** GPU backends functions were VRAM optimized to run smoothly **
Release beta version 0.1.7
some debugging
some improvement
about 70% working fine
Release beta version 0.1.3
Added options of backend using GPU.
Added bayesian.py and bayes_viz.py, boilerplates to bayesian analysis.
Beta version 0.1.1
First time published in PyPi.org.