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. 2022 May 5;17(5):e0267955. doi: 10.1371/journal.pone.0267955

Table 3. MSB classification performance of fused features.

Features Magnification Image_accuracy(%) Patient_accuracy(%) Sensitivity(%) Precision(%) F1_score(%)
Average pool_1+GLCM 40× 93.26±2.73 93.30±3.12 94.13±2.95 90.98±5.60 96.71±2.28
100× 92.78±1.90 93.03±3.18 93.64±2.86 90.88±7.78 96.62±2.95
200× 95.06±1.57 94.38±1.49 95.78±2.23 92.86±5.52 97.59±1.80
400× 92.08±2.74 92.11±2.97 95.47±2.89 88.63±9.00 95.67±3.66
Average pool_2+GLCM 40× 94.86±3.02 94.11±3.38 96.93±3.17 93.07±5.37 97.45±2.15
100× 94.61±2.22 94.12±2.50 94.61±2.70 95.81±2.33 98.42±1.08
200× 94.99±2.00 95.09±2.35 96.53±2.01 94.42±5.48 98.08±1.83
400× 92.65±2.32 92.42±2.12 95.33±1.91 87.87±6.64 95.41±2.83
Average pool_3+GLCM 40× 95.02±1.97 94.92±2.20 97.01±2.66 94.16±3.96 98.01±1.32
100× 94.91±1.99 94.60±2.32 97.14±1.83 91.70±3.52 97.09±1.57
200× 95.62±1.98 95.21±2.08 97.19±2.20 91.96±3.18 97.32±1.15
400× 92.35±2.26 91.90±3.08 93.03±2.97 90.44±3.21 96.31±1.51
Global average pool+GLCM 40× 95.02±1.87 94.53±2.50 97.22±1.20 92.47±4.43 97.44±1.49
100× 94.75±2.62 94.05±3.21 96.25±2.61 92.69±3.37 97.39±1.50
200× 95.38±1.89 95.01±2.23 96.68±2.91 96.90±2.54 98.96±0.86
400× 92.91±2.41 92.20±2.62 93.64±2.81 93.99±4.09 97.56±1.91
FC+GLCM 40× 94.36±2.02 94.17±2.38 96.70±2.26 91.23±4.48 97.05±1.46
100× 94.13±1.99 93.45±2.68 96.83±2.68 85.56±5.59 95.35±1.55
200× 95.55±1.22 95.35±1.41 97.16±1.67 91.84±4.95 97.31±1.65
400× 92.13±2.54 91.42±2.43 93.65±2.08 88.07±3.84 95.40±2.12
block4+GLCM 40× 94.32±2.76 93.80±2.78 96.11±2.32 96.19±1.95 96.14±2.03
100× 94.31±2.72 94.27±2.90 96.36±2.59 95.91±1.77 96.13±2.08
200× 95.52±1.77 95.28±1.81 96.74±1.74 97.29±2.46 96.99±1.28
400× 92.77±2.50 92.53±2.40 95.00±1.83 95.05±2.75 95.01±1.91
block6+GLCM 40× 94.09±1.81 93.66±1.88 95.93±1.30 96.12±1.88 96.02±1.35
100× 93.60±2.24 93.71±2.40 95.75±2.22 95.59±1.66 95.67±1.79
200× 95.36±1.92 95.07±1.76 97.40±1.43 96.44±2.25 96.90±1.39
400× 92.90±1.98 92.78±2.08 94.23±2.33 95.95±2.17 95.06±1.61
block14+GLCM 40× 96.75±1.96 96.33±2.14 97.86±1.53 97.76±2.03 97.80±1.41
100× 95.20±2.31 95.26±2.60 95.79±2.11 97.63±1.65 96.69±1.78
200× 96.29±1.49 96.09±1.79 97.14±1.77 97.86±1.29 97.49±1.12
400× 93.15±2.30 92.99±2.85 94.43±2.51 96.09±2.42 95.23±1.83
block19+GLCM 40× 94.86±2.31 94.50±2.64 95.93±2.39 97.10±1.38 96.51±1.69
100× 94.87±2.11 95.07±2.19 96.53±1.49 96.54±2.37 96.53±1.61
200× 95.79±1.71 95.48±1.47 97.81±1.48 96.64±2.48 97.20±1.19
400× 93.02±2.35 92.99±2.39 95.07±2.77 95.34±2.51 95.17±1.84
block22+GLCM 40× 96.29±1.82 95.87±2.11 98.52±1.68 96.53±1.43 97.51±1.32
100× 94.93±2.27 94.90±2.35 96.57±1.49 96.56±2.04 96.56±1.71
200× 95.73±2.09 95.48±2.16 96.77±2.21 97.48±1.80 97.11±1.54
400× 93.09±2.31 92.86±2.23 94.19±2.60 96.22±2.06 95.17±1.83
block23+GLCM 40× 95.86±1.73 95.49±1.51 96.90±1.90 97.48±1.38 97.18±1.31
100× 95.21±2.18 95.23±2.61 95.99±2.30 97.47±1.68 96.71±1.69
200× 96.57±1.82 96.05±1.94 97.40±2.35 97.97±1.47 97.67±1.35
400× 93.05±2.05 92.63±2.82 93.98±2.50 96.40±2.41 95.14±1.67