Table 8 Diagnostic performance comparison between proposed and baseline method. Accuracy, sensitivity, specificity, and AUC score obtained from the holdout test set. Values in parentheses represent improvements in performance between the proposed and baseline method diagnoses. The mean and standard deviation are obtained from the holdout test.

From: Enhancing foveal avascular zone analysis for Alzheimer’s diagnosis with AI segmentation and machine learning using multiple radiomic features

Method

Accuracy (%)

Sensitivity (%)

Specificity (%)

AUC (%)

Baseline

50.7±5.5

35.2±15.6

78.7±13.5

58.0±0.9

Proposed

64.8±4.3\(^*\) (+ 14.1)

54.4±5.0\(^*\) (+ 19.2)

83.7±6.3\(^*\) (+ 5.0)

72.0±4.8\(^*\) (+ 14)

  1. * \(p<0.05\).