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Table 2 Image set classification results of BIOCAT

From: BIOCAT: a pattern recognition platform for customizable biological image classification and annotation

Image set

Literature accuracy (%)

BIOCAT accuracy (%)

BIOCAT variance

BIOCAT number of features per image

K1502D

-

100

-

40

K1503D

-

100

0.0

500

CHO

93

93.1

0.12

7

Binucleate

100

100

0.0

40

LiverGenderCR

99

99.0

0.002

40

LiverGenderAL

69

91.7

0.65

100

MuscleAge

53

89.6

0.10

100

Pollen

97

87.5

1.15

40

Hela

84

68.3

0.15

40

Termbulb

49

51.1

0.31

21

Lymphoma

85

70.9

0.07

22

LiverAging

51

73.8

0.81

14

RNAi

82

55.0

0.08

40

  1. The bold numbers indicate the higher accuracy.