CivetQC is a command-line utility for automated quality control of CIVET outputs.
Reason this release was yanked:
missing dependencies
Project description
CivetQC
About
Although the CIVET Cortical Surface Extraction Pipeline provides users with extensive data for quality control purposes, reviewing these data manually is time consuming and impractical when dealing with extremely large datasets. CivetQC is a fully automated quality control pipeline for CIVET outputs based on the random forest algorithm. Using data from our lab (N=1087), the algorithm was trained to classify CIVET outputs as either unacceptable (0) or acceptable (1). Although CivetQC is still in development, it can currently detect unacceptable outputs with an accuracy of approximately 85%.
Installation
To install the
Usage
usage: civetqc [-h] path_csv output_dir
positional arguments:
path_csv path to csv file outputted by CIVET
output_dir path to directory where results should be outputted
optional arguments:
-h, --help show this help message and exit
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