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. Author manuscript; available in PMC: 2019 Jun 1.
Published in final edited form as: IEEE Trans Med Imaging. 2018 Jun;37(6):1464–1477. doi: 10.1109/TMI.2018.2829662

TABLE IV.

Summary of Classification Performance for Simulated Data

Dataset* Source Artifact
Prec. Recall AUC Prec. Recall AUC
Initial, Noiseless 1.000 1.000 1.000 1.000 1.000 1.000
−3dB SNR 1.000 1.000 1.000 1.000 1.000 1.000
−9dB SNR 1.000 0.993 0.999 0.999 0.974 0.995
−15dB SNR 0.885 0.885 0.976 0.766 0.823 0.964
−21dB SNR 0.707 0.085 0.831 0.647 0.044 0.804
Finely Spaced 5 mm shift 0.998 0.997 1.000 0.997 0.997 .999
Euclidean shift 0.999 0.997 1.000 0.990 0.992 0.984
Multiple Noise Levels 1 source 0.8721 0.9713 0.9018 0.9619 0.8618 0.9471
2 sources 0.9805 0.9723 0.9868 0.9746 0.9239 0.9837
3 sources 0.9876 0.9721 0.9869 0.9830 0.8756 0.9880
4 sources 0.9906 0.9636 0.9867 0.9847 0.8314 0.9890
5 sources 0.9914 0.9578 0.9856 0.9892 0.7852 0.9888
6 sources 0.9922 0.9433 0.9842 0.9880 0.7600 0.9871
7 sources 0.9900 0.9377 0.9851 0.9910 0.7157 0.9870
8 sources 0.9960 0.9282 0.9915 0.9485 0.6867 0.9836
9 sources 0.9935 0.9281 0.9857 0.9859 0.6868 0.9863
10 sources 0.9944 0.9146 0.9867 0.9840 0.6325 0.9864
Discrete Receiver 1 source 0.8939 0.9160 0.9167 0.8818 0.9316 0.9386
*

A11 datasets used the continuous receiver unless otherwise stated.