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. 2021 Feb;10(2):1186–1199. doi: 10.21037/tlcr-20-708

Table 5. Summary of deep learning algorithms used for automated diagnosis of pulmonary nodules.

Year Authors Network Accuracy
2017 Kang et al. (91) 3D MV-CNN 95.25%
Inception 95.41%
Inception-ResNet 95.11%
2017 Hussein et al. (94) Multi-task CNN 91.26%
2017 Ciompi et al. (95) Multi-stream CNN 72.90%
2018 Dey et al. (92) Basic CNN 84.35%
DenseNet 88.42%
Multi-Output CNN 85.84%
Multi-Output DenseNet 90.40%
2018 Tafti et al. (93) Multi-Scale CNN 83.75%
2019 Shen et al. (96) HSCNN 84.20%
2020 Ren et al. (97) MRC-DNN 90.00%