Table 1.
Approximate runtime performance for training and prediction runs for all five algorithms on HuBMAP data.
| Model | Training on kidney data (n = 15) | Training on colon data (no pretraining on kidney data) (n = 5) | Training on colon data (pretrained on kidney data) (n = 5) | Inference on kidney data (n = 10) | Inference on colon data (n = 2) | 
|---|---|---|---|---|---|
| Tom | 23 h | 2 h | 2.5 h | 1.3 h | 1.3 min | 
| Gleb | 8 h | 4 h | 4 h | 0.4 hs | 2 min | 
| Whats goin on | 24 h | 0.5 h | 0.5 h | 0.75 h | 1.75 min | 
| DeepLive.exe | 51 h | 45 h | 45 h | 1 h | 2 min | 
| Deepflash2 | 8 h | 1.6 h | 1 h | 0.22 h | 0.35 min |