TABLE V.

Mean and Standard Deviation Values of Evaluation Metrics From Testing Set Versus Pathology for Thyroid Nodules Using the Multi-Prong Convolutional Neural Network (MPCNN) Algorithm and the Distance Regularized Level Set (DRLS) Algorithm

Metrics	Algorithm	Benign (11=94)	Malignant (n=31)	Indeterminate (n=17)
Dice coefficient	MPCNN	0.73±0.22	0.75±0.31	0.82±0.15
	DRLS	0.80±0.20	0.84±0.20	0.89±0.11
TPF	MPCNN	0.76±0.22	0.81±0.23	0.88±0.12
	DRLS	0.76±0.22	0.81±0.23	0.88±0.12
FPF, ×(1e-6)	MPCNN	0.33±0.70	0.20±0.33	0.29±0.34
	DRLS	0.33±0.70	0.20±0.33	0.29±0.34

TPF = true positive fraction, FPF = false positive fraction, n = number of images