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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%