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Table 1 Evaluation of the three designated tools on the eight available datasets

From: Benchmark for multi-cellular segmentation of bright field microscopy images

Algorithm/Dataset Init SN15 Melanoma TScratch Scatter Microfluidics HEK293 MDCK
Mean F-Measure (N = 28) (N = 54) (N = 20) (N = 24) (N = 6) (N = 13) (N = 12) (N = 14)
(Median F-Measure)
[F-Measure Adjusted]
Tscratch (Geback et al. 2009) 0.96 0.96 0.88 0.94 0.47 0.42 0.90 0.92
(0.96) (0.97) (0.90) (0.93) (0.47) (0.41) (0.91) (0.93)
MultiCellSeg (Zaritsky et al. 2011) 0.98 0.97 0.85 0.93 0.55 0.35 0.95 0.96
(0.98) (0.98) (0.91) (0.95) (0.56) (0.45) (0.95) (0.98)
Topman et al. 2011 0.98 0.95 0.93 0.78 0.58 0.63 0.85 0.89
(0.98) (0.97) (0.93) (0.76) (0.60) (0.63) (0.87) (0.93)
[0.97] [0.96] [0.93] [0.84] [0.52] [0.61] [0.84] [0.93]
  1. F-measure was used for evaluation in three forms: mean F-measure of images in the dataset, median, and mean after threshold adjustment on the training set (for [10]).
  2. Best mean F-measure performance is marked in bold.