Table II. Diagnostic performance of the Support Vector Machine on images processed using a Local Binary Pattern operator in the test group when using Radius R = 2.
| Average diagnostics for SVM without LBP | Average diagnostics for SVM & LBP (P = 8,R = 2) | LBP/Histogram diff in Accuracy | p | |||||
| 2 × 2 block image | Sensitivity [95%CI) | Specificity [95%CI) | Accuracy [95%CI) | Sensitivity [95%CI) | Specificity [95%CI) | Accuracy [95%CI) | ||
| Original image | 0.63 [0.60-0.66] | 0.61 [0.575-0.645] | 0.62 [0.59-0.65] | 0.69 [0.67-0.71] | 0.66 [0.635-0.685] | 0.67 [0.65-0.69] | 0.05 [0.01-0.09] | 0.01 |
| Original ROI | 0.68 [0.65-0.71] | 0.645 [0.61-0.68] | 0.66 [0.63-0.69] | 0.75 [0.73-0.77] | 0.72 [0.71-0.73] | 0.74 [0.73-0.75] | 0.08 [0.04-012] | 0.0008 |
| Enhanced image | 0.59 [0.54-0.64] | 0.64 [0.62-0.66] | 0.62 [0.59-0.65] | 0.80 [0.77-0.83] | 0.77 [0.74-0.80] | 0.78 [0.76-0.80] | 0.16 [0.12-0.20] | 0.0001 |
| Enhanced ROI | 0.66 [0.63-0.69] | 0.65 [0.625-0.675] | 0.65 [0.63-0.67] | 0.77 [0.75-0.79] | 0.77 [0.75-0.79 | 0.77 [0.75-0.79] | 0.12 [0.09-0.15] | 0.0001 |
SVM: Support vector machine. LBP: Linear binary processor. ROI: Region of interest.