From: Semantic characteristic grading of pulmonary nodules based on deep neural networks
Nodule | N | C1 | C2 | C3 | C4 | C5 | C6 | C7 | C8 | C9 |
---|---|---|---|---|---|---|---|---|---|---|
| N1 | 5 | 1 | 6 | 3 | 3 | 2 | 2 | 3 | 5 |
N2 | 5 | 1 | 6 | 4 | 3 | 2 | 2 | 5 | 5 | |
N3 | 3 | 1 | 6 | 2 | 3 | 3 | 2 | 4 | 3 | |
N4 | 5 | 1 | 6 | 5 | 4 | 1 | 5 | 4 | 4 | |
| N1 | 3 | 1 | 6 | 4 | 5 | 1 | 1 | 5 | 2 |
N2 | 2 | 1 | 3 | 3 | 5 | 1 | 1 | 5 | 1 | |
N3 | 2 | 1 | 3 | 2 | 5 | 1 | 1 | 5 | 1 | |
N4 | 5 | 1 | 3 | 5 | 5 | 1 | 1 | 5 | 1 | |
| N1 | 5 | 1 | 6 | 3 | 4 | 2 | 2 | 5 | 4 |
N2 | 5 | 1 | 4 | 3 | 4 | 1 | 1 | 4 | 3 | |
N3 | 5 | 1 | 6 | 5 | 5 | 1 | 1 | 5 | 5 | |
N4 | 3 | 1 | 6 | 5 | 5 | 1 | 1 | 5 | 2 | |
| N1 | 3 | 1 | 6 | 4 | 5 | 1 | 1 | 5 | 2 |
N2 | 3 | 1 | 6 | 5 | 5 | 1 | 1 | 5 | 3 | |
N3 | 5 | 1 | 6 | 5 | 5 | 1 | 1 | 4 | 3 | |
N4 | 3 | 1 | 6 | 5 | 5 | 1 | 1 | 5 | 2 |