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. 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 VI.

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

Metrics Algorithm Benign (n=98) Malignant (n=32) Indeterminate (n=18)
Dice coefficient MPCNN 0.90±0.08 0.88±0.14 0.85±0.16
DRLS 0.95±0.03 0.95±0.02 0.94±0.03
TPF MPCNN 0.89±0.12 0.87±0.17 0.85±0.21
DRLS 0.94±0.05 0.96±0.04 0.94±0.05
FPF ×(1e-6) MPCNN 0.78±1.29 0.56±0.64 0.72±0.96
DRLS 0.48±0.64 0.59±0.57 0.46±0.42

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