Table 5.

Evaluation metrics of A2SDNet121 with other state-of-the-art methods for five-classification task on the SIPaKMeD dataset.

Method	Acc/%	Pre/%	Spe/%	Rec/%	F1-score/%
HDFF23	99.14	99.20	\	\	99.00
Shi13	98.37	\	99.60	99.80	\
Qin25	98.67	\	99.67	98.65	98.67
Kundu16	98.94	98.79	\	98.80	98.79
Gao21	98.52	\	98.68	98.53	98.59
Chowdary26	99.16	\	99.75	99.15	\
Das17	97.93	98.00	\	97.00	98.00
VTCNet37	95.95	96.18	\	95.95	95.97
Fang38	94.55	94.13	\	91.66	92.78
Hemalatha39	98.13	97.40	\	97.60	97.40
RES_DCGAN40	92.00	92.00	\	92.00	92.00
Shandilya41	99.11	98.69	\	98.63	98.47
A2SDNet121	99.22	99.22	99.80	99.24	99.22