Table 3 Comparison of sensitivity of GLAM and GMIC models with (columns indicated as “Transfer”) and without (columns indicated as “Pre-trained”) transfer learning in four concordance levels of Dataset 2.

From: AI for interpreting screening mammograms: implications for missed cancer in double reading practices and challenging-to-locate lesions

Concordance LEVEL

GLAM, Pre-TRAINED

GMIC, Pre-TRAINED

GLAM, TRANSFER

GMIC, TRANSFER

Almost Perfect

82.40%

83.70%

93.20%

95.50%

Substantial

81.00%

83.10%

92.00%

94.60%

Moderate

79.20%

80.50%

90.90%

93.40%

Poor

76.90%

76.80%

87.50%

90.80%

p-value

0.029

0.014

0.021

0.038