From: Using parallel pre-trained types of DCNN model to predict breast cancer with color normalization
Threshold (%) | Mis class benign | Mis class malignant | Mis class | Accuracy | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
SM | DM | AM | SM | DM | AM | SM | DM | AM | SM (%) | DM (%) | AM (%) | |
50 | 26 | 34 | 26 | 14 | 19 | 15 | 40 | 53 | 41 | 97 | 97 | 97 |
55 | 23 | 29 | 23 | 14 | 21 | 17 | 37 | 50 | 40 | 98 | 97 | 97 |
60 | 20 | 25 | 19 | 14 | 21 | 18 | 34 | 46 | 37 | 98 | 97 | 98 |
65 | 19 | 25 | 15 | 16 | 22 | 23 | 35 | 47 | 38 | 98 | 97 | 98 |
70 | 18 | 24 | 13 | 18 | 24 | 24 | 36 | 48 | 37 | 98 | 97 | 98 |
75 | 19 | 19 | 13 | 17 | 27 | 26 | 36 | 46 | 39 | 98 | 97 | 98 |
80 | 15 | 19 | 11 | 23 | 29 | 32 | 38 | 48 | 43 | 98 | 97 | 97 |
85 | 15 | 18 | 10 | 30 | 34 | 39 | 45 | 52 | 49 | 97 | 97 | 97 |
90 | 11 | 15 | 8 | 33 | 39 | 41 | 44 | 54 | 49 | 97 | 97 | 97 |
95 | 11 | 10 | 5 | 54 | 49 | 55 | 65 | 59 | 60 | 96 | 96 | 96 |
97 | 8 | 7 | 2 | 57 | 60 | 65 | 65 | 67 | 67 | 96 | 96 | 96 |