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Table 2 Precisions of different models

From: Automated skin biopsy histopathological image annotation using multi-instance representation and learning

Term Citation GPMIL BOF
  2D-DWT SIFT 2D-DWT SIFT  
t1 63.24% 59.06% 65.14% 64.55% 58.05%
t2 66.45% 67.12% 67.56% 67.63% 64.34%
t3 69.54% 66.47% 70.40% 68.29% 57.93%
t4 73.88% 70.85% 77.78% 72.23% 74.55%
t5 59.12% 60.21% 62.12% 58.23% 56.71%
t6 63.41% 63.00% 65.12% 66.02% 58.55%
t7 69.42% 71.23% 71.98% 70.24% 76.60%
t8 70.04% 66.73% 73.12% 69.44% 62.86%
t9 78.19% 79.11% 75.00% 81.49% 76.82%
t10 72.42% 68.48% 71.34% 69.49% 64.03%
t11 81.42% 80.91% 85.12% 83.23% 81.95%
t12 75.00% 74.83% 73.52% 78.56% 74.82%
t13 80.12% 78.02% 83.13% 80.04% 77.85%
t14 84.21% 82.35% 82.34% 83.12% 80.48%
t15 81.23% 80.34% 83.55% 85.90% 79.22%