Method | Input data | Accuracy | ||||
Overall | LUAD | LUSC | meta | normal | ||
CNN + SVM | Original * 3 | 0.844 | 0.720 | 0.889 | 0.893 | 0.875 |
Transfer Learning | Original * 3 | 0.874 | 0.807 | 0.928 | 0.934 | 0.827 |
Proposed Method | LL+ HL + LH | 0.919 | 0.882 | 0.927 | 0.958 | 0.906 |
LL+ HH + HH | 0.907 | 0.861 | 0.913 | 0.953 | 0.900 | |
LL+ LL + HH | 0.910 | 0.869 | 0.913 | 0.943 | 0.914 | |
LL+ LL + LL | 0.909 | 0.864 | 0.936 | 0.920 | 0.914 | |
LH+HL + HH | 0.906 | 0.857 | 0.923 | 0.932 | 0.910 |