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Table 2 Performance comparisons (precision, recall and F-score, in percentage) with several mainstreaming methods on Dataset I

From: Analyzing temporal dynamics of cell deformation and intracellular movement with video feature aggregation

Methods

Precision (%)

Recall (%)

F-score (%)

Shape parameters

\(60.91\pm 12.80\)

\(60.85\pm 10.67\)

\(59.61\pm 13.52\)

Zernike moment

\(81.64\pm 6.57\)

\(82.75\pm 6.89\)

\(81.63\pm 6.63\)

Tree graph

\(69.92\pm 9.63\)

\(67.25\pm 9.43\)

\(65.59\pm 9.49\)

DTW-radial distance

\(82.73\pm 11.96\)

\(81.59\pm 12.28\)

\(81.40\pm 11.49\)

RDOF feature

\(82.90\pm 7.25\)

\(82.50\pm 9.61\)

\(82.27\pm 5.62\)

SAPHIRE

\(73.56\pm 8.30\)

\(74.17\pm 9.97\)

\(73.36\pm 8.54\)

LDP

\(90.03\pm 6.89\)

\(88.13\pm 7.06\)

\(88.97\pm 7.18\)

TBoW

\(89.84\pm 5.58\)

88.30 ± 6.35

\(88.84\pm 4.00\)

VFA (ours)

93.70 ± 5.10

89.70 ± 6.88

91.41 ± 3.98

  1. Italic values indicate the best performance in the corresponding columns