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Figure A. Analysis of the CALIPER texture features within the lung nodules. The texture features within the shaded region do not appear within the lung nodules.

Figure B Three dimensional scatter plot showing the pairwise Dice Similarity Coefficient (DSC) between the nodules segmented by the Radiologist (Rx), Pulmonologist (Px) and Image Analyst (IA).

Table A Algorithmic components of nodule surface characterization and the strategy used during the pilot study and current improvements.

Table B. List of quantitative metrics used in the discrimination of benign and malignant nodules. The pval, 95% CI and the probability plot correlation coefficient (PPCC) are given in the last column for benign (N = 319) and malignant (N = 338) nodules.

Figure C Mosaic showing the glyphs (A, D), the nodule distribution within the upper, middle, lower left and right lung (B, E) and the Score Indicative of Lesion Abnormality (SILA) for the NLST malignant and benign nodules used in this study. The glyphs are ordered in Panels A and D based on the nodule-specific SILA values; the SILA values in Panels C and F are color coded in green, yellow and red based on the previously developed CANARY categorization.

Figure D Three dimensional scatter plot showing the variations in the SILA (Score Indicative of Lung Abnormality) between the nodules segmented by 3 operators. Panels A and B respectively show the SILA values for the nodule texture and surface. The nodules (N = 266) described in section 2.2.1 were used for this analysis.