[Retracted] Deep Transfer Learning-Based Breast Cancer Detection and Classification Model Using Photoacoustic Multimodal Images

Table 1

Result analysis of SEODTL-BDC technique under distinct training/testing dataset.

Methods	Precision	Recall	Accuracy	-score
Training/testing -50 : 50
Benign	0.9954	0.9954	0.9949	0.9954
Malignant	0.9905	0.9905	0.9949	0.9905
Normal	0.9851	0.9851	0.9949	0.9851
Average	0.9903	0.9903	0.9949	0.9903
Training/testing -70 : 30
Benign	0.9924	0.9924	0.9915	0.9924
Malignant	1.0000	1.0000	1.0000	1.0000
Normal	0.9750	0.9750	0.9915	0.9750
Average	0.9891	0.9891	0.9943	0.9891
Training/testing -60 : 40
Benign	0.9943	0.9943	0.9936	0.9943
Malignant	0.9765	0.9881	0.9904	0.9822
Normal	0.9808	0.9623	0.9904	0.9714
Average	0.9838	0.9815	0.9915	0.9827