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Table 3 Comparison of wndchrm accuracy to application-specific classifiers

From: Wndchrm – an open source utility for biological image analysis

Classification Accuracy

Dataset

Benchmark

algorithm

Benchmark

accuracy (%)

Accuracy of

wndchrm (%)

Hela

[29]

83

86

Pollen

[30]

79

96

CHO

[31]

87

95

  1. HeLa dataset [32], consists of fluorescence microscopy images of HeLa cells using 10 different labels, Pollen dataset [30], shows geometric features of pollen grains, and the CHO dataset [31], features fluorescence microscopy images of different sub-cellular compartments.
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