Table 1.

Statistics of samples, volume (presented by the LIDC-IDRI dataset), and accuracy (with 95% confidence intervals) of classification using the two types of images on the training, validation, and test datasets

	Training	Validation	Test
Dataset
Benign	428	52	52
Malignant	321	40	40
Volume (avg)	1221.05	985.33	1069.61
Accuracy (95% CI)
Original CT images	95.69% (94.29–97.09%)	75.05% (66.21–83.89%)	73.22% (64.18–82.26%)
Hilbert matrix images	93.45% (91.86–95.04%)	86.36% (69.35–93.37%)	85.54% (78.35–92.73%)

CI confidence intervals