Automated Recognition of Cancer Tissues through Deep Learning Framework from the Photoacoustic Specimen

Table 2

Performance comparison of the proposed technique with the existing technique.

Method	Accuracy	Precision	Recall	F-measure	AUC
Proposed PS-ACO-RNN	98.6	98	94	98
RNN [22]	97.3	98	97	98	95
CNN [23]	95	80	77	78	87
SVM [24]	88	78	85	76	92
KNN [25]	89	84	76	90	98