TABLE VII.

Mean And Standard Deviation Values of Evaluation Metrics From Testing Set Versus Probe Orientation for Thyroid Nodules, Thyroid Gland and Cystic components Using the Multi-Prong Convolutional Neural Network (MPCNN) Algorithm and the Distance Regularized Level Set (DRLS) Algorithm

		Thyroid nodule		Thyroid gland		Cyst
Metrics	Algorithm	Transverse (n=64)	Longitudinal (n=78)	Transverse (n=68)	Longitudinal (n=80)	Transverse (n=30)	Longitudinal (n=38)
Dice coefficient	MPCNN	0.73±0.27	0.76±0.21	0.87±0.14	0.91±0.07	0.56±0.34	0.66±0.29
	DRLS	0.79±0.24	0.85±0.14	0.94±0.03	0.95±0.02	0.29±0.27	0.36±0.27
TPF	MPCNN	0.94±0.05	0.95±0.05	0.52±0.36	0.64±0.32	0.52±0.36	0.64±0.32
	DRLS	0.76±0.25	0.81±0.17	0.94±0.05	0.95±0.05	0.34±0.33	0.401=0.32
FPF,×(1e-6)	MPCNN	0.20±0.69	0.38±0.51	0.55±1.20	0.87±1.08	0.02±0.06	0.05±0.09
	DRLS	0.20±0.69	0.37±0.51	0.35±0.47	0.63±0.67	0.06±0.16	0.13±0.35

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