. 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 III.

Mean and Standard Deviation Values of Evaluation Metrics From Testing Set Versus Normal Thyroid Gland Containing Nodules Classified According to Suspicion Level Using the Multi-Prong Convolutional Neural Network (MPCNN) Algorithm and the Distance Regularized Level Set (DRLS) Algorithm

Metrics	Algorithm	All cases (n=148)	Low suspicion (n=26)	Intermediate suspicion (n=51)	High suspicion (n=71)
Dice coefficient	MPCNN	0.89±0.11^c	0.91±0.07	0.85±0.15	0.91±0.07
	DRLS	0.94±0.03^c	0.95±0.03	0.94±0.03	0.95±0.02
TPF	MPCNN	0.88±0.15^d	0.90±0.12	0.82±0.19	0.91±0.10
	DRLS	0.94±0.05^d	0.97±0.04	0.93±0.05	0.94±0.04
FPF, ×(1e-6)	MPCNN	0.73±1.14^e	0.67±0.69	0.69±1.34	0.77±1.12
	DRLS	0.50±0.60^e	0.82±0.59	0.43±0.64	0.44±0.54

TPF = true positive fraction, FPF = false positive fraction, n = number of images, P < 0.0001, P <0.0001, P =0.0307