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. Author manuscript; available in PMC: 2020 Aug 1.
Published in final edited form as: Ultramicroscopy. 2018 Nov 29;203:170–180. doi: 10.1016/j.ultramic.2018.11.016

Table 2-. Results of focused classification on an asymmetric unit when the mask is applied on the wrong region.

Classification was performed after application of a 2-D mask or 3-D mask onto a leg (see Figure 2B), while the heterogeneity was characterized by the mobility in the arms/hands (scenario 1), and the κ coefficient was evaluated for the five SNRs and for each mask. Whereas the 2-D masking displayed some “leakiness” at the highest SNRs, the 3-D masking showed completely random classification.

SNR 2-D mask 3-D mask
0.100 0.23 −0.01
0.050 0.11 0.00
0.025 0.01 0.01
0.013 0.00 0.01
0.006 0.00 0.00
pure noise −0.01 0.00