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. Author manuscript; available in PMC: 2018 Mar 1.
Published in final edited form as: Comput Med Imaging Graph. 2017 Jan 31;56:38–48. doi: 10.1016/j.compmedimag.2017.01.002

Table 2.

Comparison of average nucleus segmentation performance of LAGC (Zhang et al., 2014b), superpixels GC (Song et al., 2015) and our graph-search based methods on abnormal cervical cells from HEMLBC dataset (Zhang et al., 2014b). Bold values indicate the highest performance for each automated method.

Methods Precision Recall F-measure Overlap
Zhang et al. (2014b) 0.88 ±0.14 0.91 ± 0.07 0.884 ±0.08 0.81 ±0.12
Song et al. (2015) 0.90 ± NA 0.91 ± NA 0.897 ± NA 0.83 ± NA
Our method 0.91 ± 0.04 0.96 ± 0.04 0.930 ± 0.03 0.87 ± 0.05
Intra-observer 0.94 ± 0.04 0.96 ± 0.03 0.953 ± 0.02 0.91 ± 0.03