Table 2.
Composition of the prostate dataset. The prostate dataset includes patches annotated as Benign, Gleason Pattern 3 (GP3), Gleason Pattern 4 (GP4), and Gleason Pattern 5 (GP5). Patches from TMAZ and SICAPv2 are used to train, validate, and test the method, while patches from Gleason challenge, Diagset, Valme, and PANDA are used as external sources to test the capability of the method to generalize on data collected from independent sources.
| Prostate data | |||||
|---|---|---|---|---|---|
| Source | Benign | GP3 | GP4 | GP5 | Total |
| Training partition | |||||
| TMAZ | 2010 | 5992 | 4472 | 2766 | 15 240 |
| SICAPv2 | 9432 | 6499 | 2250 | 2011 | 20 192 |
| Total training | 11 442 | 12 491 | 6722 | 4777 | 35 432 |
| Validation partition | |||||
| TMAZ | 1350 | 1352 | 831 | 457 | 4927 |
| SICAPv2 | 604 | 819 | 302 | 210 | 1935 |
| Total validation | 1954 | 2171 | 1133 | 667 | 6862 |
| Internal testing partition | |||||
| TMAZ | 127 | 1602 | 2121 | 387 | 4237 |
| SICAPv2 | 1033 | 3466 | 427 | 546 | 5427 |
| Total internal testing | 1160 | 5068 | 2548 | 933 | 9709 |
| External testing partition | |||||
| Gleason challenge | 1080 | 2431 | 3649 | 100 | 7260 |
| Diagset | 8783 | 1243 | 4334 | 696 | 15 056 |
| Valme | 13 652 | 3026 | 5510 | 800 | 22 988 |
| PANDA | 10 189 | 20 000 | 20 000 | 8014 | 58 203 |
| Total external testing | 33 704 | 26 700 | 33 493 | 9610 | 103 507 |