Table 5.

Performance comparison of our different fusion models

Model	Feature set size	Accuracy	Sensitivity	Specificity	Precision
EfficientNet-B5-FT-Fusion2	73: 50 EfficientNet-B5-FT + 23 handcrafted	0.972	0.979	0.965	0.965
EfficientNet-B0-FT-Fusion2	73: 50 EfficientNet-B0-FT + 23 handcrafted	0.967	0.979	0.955	0.960
InceptionV3-FT-Fusion2	73: 50 InceptionV3-FT + 23 handcrafted	0.955	0.965	0.95	0.95
EfficientNet-B5-FT-Fusion1	2128: 2048 EfficientNet-B5-FT + 80 handcrafted	0.964	0.967	0.955	0.95
EfficientNet-B0-FT-Fusion1	1360: 1280 EfficientNet-B0-FT + 80 handcrafted	0.934	0.945	0.94	0.933
InceptionV3-FT-Fusion1	2128: 2048 InceptionV3-FT + 80 handcrafted	0.93	0.942	0.934	0.93