From: Deep learning model for automatic image quality assessment in PET
Task | fold | Grade | Train (n) | Validation (n) |
---|---|---|---|---|
1&2 | 0 | 1/2/3 | 44 | 12 |
 |  | 4/5 | 27 | 6 |
 | 1 | 1/2/3 | 43 | 13 |
 |  | 4/5 | 28 | 5 |
 | 2 | 1/2/3 | 48 | 8 |
 |  | 4/5 | 23 | 10 |
 | 3 | 1/2/3 | 44 | 12 |
 |  | 4/5 | 27 | 6 |
 | 4 | 1/2/3 | 45 | 11 |
 |  | 4/5 | 27 | 6 |
3&4 | 0 | 1/2 | 36 | 8 |
 |  | 3/4/5 | 35 | 10 |
 | 1 | 1/2 | 34 | 10 |
 |  | 3/4/5 | 37 | 8 |
 | 2 | 1/2 | 37 | 7 |
 |  | 3/45 | 34 | 11 |
 | 3 | 1/2 | 35 | 9 |
 |  | 3/4/5 | 36 | 9 |
 | 4 | 1/2 | 24 | 10 |
 |  | 3/4/5 | 38 | 7 |