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Table 2 Classification accuracies (%) compared to the existing studies

From: Bioimage classification with subcategory discriminant transform of high dimensional visual descriptors

Dataset Ours-ILHCG Ours-ILHC [9] [8] [13] [15] [11] [10] [23] [14]
2D HeLa 97.6 ±1.4 98.3 ±1.2 84 68.3 94.4 94.4 90.7
CHO 99.5 ±0.4 99.9 ±0.1 93 93.1 98.5 99.4 98.4
RNAi 85.5 ±2.5 86.5 ±3.3 82 55.0 67.5 92.0 90.1
Muscle aging 98.3 ±2.7 97.9 ±3.6 53 89.6
Terminal bulb aging 69.5 ±2.4 64.8 ±2.4 49 51.1 44.6 69.9
Lymphoma 94.6 ±2.7 96.8 ±3.1 85 70.9 92.7 63.3
Liver gender 99.6 ±0.8 99.6 ±0.8 69 91.7 99.2 97.3
Liver aging 100.0 ±0.0 100.0 ±0.0 51 73.8 96.4
  1. Boldface indicates the best result on the individual dataset