Time-dependent error-detection rate model for software reliability and other performance measures

1980 ◽  
Vol 20 (4) ◽  
pp. 541
Keyword(s):  
Performance Measures ◽  
Software Reliability ◽  
Error Detection ◽  
Detection Rate ◽  
Time Dependent ◽  
Rate Model ◽  
Dependent Error ◽  
Error Detection Rate

scholarly journals Nonhomogeneous software error detection rate model : data analyses and applications

1986 ◽  
Vol 20 (1) ◽  
pp. 51-60 ◽  
Author(s):  
Shigeru Yamada ◽  
Hiroyuki Narihisa ◽  
Hiroshi Ohtera
Keyword(s):  
Error Detection ◽  
Detection Rate ◽  
Rate Model ◽  
Model Data ◽  
Data Analyses ◽  
Error Detection Rate

scholarly journals Visual QC Protocol for FreeSurfer Cortical Parcellations from Anatomical MRI

2020 ◽  
Author(s):  
Pradeep Reddy Raamana ◽  
Athena Theyers ◽  
Tharushan Selliah ◽  
Piali Bhati ◽  
Stephen R. Arnott ◽  
...  
Keyword(s):  
Quality Control ◽  
Open Source ◽  
Error Detection ◽  
Detection Rate ◽  
Visual Inspection ◽  
Visual Quality ◽  
Open Source Tool ◽  
Neuroimaging Data ◽  
Anatomical Mri ◽  
Error Detection Rate

AbstractQuality control of morphometric neuroimaging data is essential to improve reproducibility. Owing to the complexity of neuroimaging data and subsequently the interpretation of their results, visual inspection by trained raters is the most reliable way to perform quality control. Here, we present a protocol for visual quality control of the anatomical accuracy of FreeSurfer parcellations, based on an easy to use open source tool called VisualQC. We comprehensively evaluate its utility in terms of error detection rate and inter-rater reliability on two large multi-site datasets, and discuss site differences in error patterns. This evaluation shows that VisualQC is a practically viable protocol for community adoption.

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