. Author manuscript; available in PMC: 2020 Sep 28.

Published in final edited form as: IEEE Access. 2020 Mar 23;8:63482–63496. doi: 10.1109/access.2020.2982390

TABLE II.

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

Metrics	Algorithm	All cases (n=142)	Low suspicion (n=26)	Intermediate suspicion (n=47)	High suspicion (n=69)
Dice coefficient	MPCNN	0.75±0.24^c	0.81±0.22	0.73±0.18	0.73±0.28
	DRLS	0.82±0.19^c	0.86±0.20	0.81±0.17	0.81±0.20
TPF	MPCNN	0.74±0.27	0.82±0.22	0.73±0.22	0.71±0.31
	DRLS	0.79±0.21	0.86±0.21	0.79±0.19	0.76±0.22
FPF,×(1e-6)	MPCNN	0.35±0.48	0.40±0.41	0.43±0.59	0.28±0.39
	DRLS	0.30±0.60^e	0.45±0.46	0.42±0.88	0.15±0.29

TPF = true positive fraction, FPF = false positive fraction, n = number of images, P = 0.0068