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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