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Accuracy comparison of nodule classification on public dataset.
| Models | Accuracy (%) | Year |
|---|---|---|
| Multi-scale CNN [31] | 86.84 | 2015 |
| Nodule level 2D CNN [32] | 87.30 | 2016 |
| Slice level 2D CNN [32] | 86.70 | 2016 |
| Multi-crop CNN [33] | 87.14 | 2017 |
| Vanilla 3D CNN [32] | 87.40 | 2016 |
| Deep 3D DPN [18] | 88.74 | 2017 |
| Deep 3D DPN + GBM [18] | 90.44 | 2017 |
| 3D MixNet [24] | 88.83 | 2019 |
| 3D MixNet + GBM [24] | 90.57 | 2019 |
| 3D CMixNet + GBM | 91.13 | 2019 |
| 3D CMixNet + GBM + Biomarkers | 94.17 | 2019 |
