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Table 3 Quantitative results of pulmonary nodule classification in which highlighted values represent the best result of each metric

From: HR-MPF: high-resolution representation network with multi-scale progressive fusion for pulmonary nodule segmentation and classification

Methods Acc SE SP AUC
Zhang et al. [23] 0.8353 0.8046 0.8599
Zheng et al. [47] 0.8867 0.8222 0.9317
Tong et al. [25] 0.9129 0.9101 0.9140
Zuo et al. [46] 0.9733 0.9726 0.9954
Agnes et al. [48] 0.8726 0.8100 0.9190 0.9440
Ours 0.9768 0.9453 0.9789 0.9646