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. Author manuscript; available in PMC: 2018 Apr 15.
Published in final edited form as: J Neurosci Methods. 2017 Mar 4;282:20–33. doi: 10.1016/j.jneumeth.2017.03.002

Table 1.

Precision, recall, false negative rate (FNR - the percentage of non detected cell), and F1 score for all tested methods: Automatic Cell Counting (AC), CellProfiler (CP), Ushizima et al. (DU), CellC (CC), and Dictionary Learning (DL).

Methods Precision Recall FNR F1 score
AC 0.028 0.672 0.328 0.040
CP 0.020 0.199 0.801 0.008
DU 0.026 0.534 0.466 0.029
CC 0.018 0.716 0.284 0.028
DL 0.150 0.785 0.215 0.251