Journal of Translational Medicine

Table 3 Effectiveness of our R-Net and comparison between different cellular localization algorithms and pathologists on big patches

From: Automated tumor proportion scoring for PD-L1 expression based on multistage ensemble strategy in non-small cell lung cancer

	R-Net	MAE	RMSE	PCCs	SRCC	ICC
Mi	–	12.34	17.82	0.834	0.921	0.917
Mi	√	9.64	15.71	0.882	0.927	0.919
U-Net	–	10.22	15.45	0.865	0.936	0.935
U-Net	√	8.83	14.48	0.904	0.937	0.935
S³-Net	–	8.18	13.46	0.905	0.945	0.943
S³-Net	√	7.56	12.73	0.928	0.956	0.953
C-Net	–	8.00	12.19	0.906	0.951	0.951
C-Net	√	7.55	11.82	0.933	0.965	0.963

ICC intraclass correlation coefficient, MAE mean absolute error, MAPE mean absolute percent error, PCC Pearson product-moment correlation coefficient, RMSE root mean squared error, SRCC Spearman’s rank correlation coefficient

Back to article page

ISSN: 1479-5876

Contact us

Submission enquiries: Access here and click Contact Us
General enquiries: info@biomedcentral.com