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Table 1 Description of Analyses and Terms

From: High-throughput quantitative histology in systemic sclerosis skin disease using computer vision

TermAnalysis toolPurpose
Image Patch ScorePrincipal Component Analysis was applied to the 4096 Quantitative Image Features (QIF) generated by the deep neural network (DNN) algorithm for each of the 100 image patches/biopsyTo quantitatively summarize the variance in SSc biopsy histology
Biopsy ScoreThe mean of the 100 Image Patch Scores for each biopsy sectionUsed as a discovery tool to assess the utility of applying DNN algorithms to stained SSc biopsies. Defining the Biopsy score as the mean of the 100 Image Patch Scores enabled generation of one quantitative histologic score for each biopsy section
Diagnostic ScoreLogistic regressionTo identify QIF that are associated with SSc versus health control biopsy
Fibrosis ScoreLinear regressionTo identify QIF that are associated with mRSS
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