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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.