Table 3. Comparison of the eyelid carcinoma classification performance of the DL-based fully automated differential diagnostic method with that of three pathologists.

Diagnostic approach	BCC and SC classification accuracy	P valuea	F1BCCb	F1SC
DL-based fully automated differential diagnostic method	0.983	–	0.978	0.973
First junior pathologist	0.644	<0.05	0.656	0.632
Second junior pathologist	0.729	<0.05	0.637	0.784
Senior pathologist	0.831	<0.05	0.792	0.833

^a, the P values are for the comparisons between the performance of each pathologist and the automated method and are based on the proportion test; ^b, F1_BCC and F1_SC: F1-scores for the identification of BCC and SC, respectively. DL, deep learning; BCC, basal cell carcinoma; SC, sebaceous carcinoma.