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. Author manuscript; available in PMC: 2019 Jul 1.
Published in final edited form as: Med Image Anal. 2018 Apr 4;47:81–94. doi: 10.1016/j.media.2018.03.013

Table 2.

Results of six methods on two classification tasks. ACC: ACCuracy; SEN: SENsitivity; SPE: SPEcificity; The number in the bracket (i.e., “(No.)”) denotes the average number of features involved in the course of classification.

Method lMCI vs. eMCI (%)
eMCI vs. NC (%)
ACC (No.) SEN SPE AUC ACC (No.) SEN SPE AUC
Baseline 56.6 (18.6) 55.8 57.1 55.1 59.4 (26.8) 66.1 52.0 56.9
TVF 57.6 (20.8) 48.8 64.3 59.9 60.4 (18.4) 64.3 56.0 59.1
SVF 63.6 (14.3) 60.5 66.1 65.8 63.2 (20.3) 71.4 54.0 64.4
CV2F 64.6 (22.2) 53.5 73.2 72.6 68.9 (41.0) 66.1 72.0 70.5
gLASSO 74.7 (24.4) 65.1 82.1 72.9 73.6 (44.2) 69.6 78.0 71.2
Proposed 78.8 (29.2) 74.4 82.1 78.3 78.3 (46.6) 82.1 74.0 77.1