Table 1 Patient demographics, subtype, and tumor size distributions for training/test dataset.
From: Deep learning for end-to-end kidney cancer diagnosis on multi-phase abdominal computed tomography
| Â | Total | Training set | Test set |
|---|---|---|---|
Patients (n) | 308 | 258 | 50 |
Age (years) | |||
 −40 | 29 | 23 | 6 |
 40–50 | 73 | 62 | 11 |
 50–60 | 96 | 80 | 16 |
 60–70 | 71 | 57 | 14 |
 70– | 39 | 36 | 3 |
Gender | |||
 Female | 167 | 140 | 27 |
 Male | 141 | 118 | 23 |
Subtype | |||
 ccRCC | 66 | 54 | 12 |
 pRCC | 69 | 58 | 11 |
 chRCC | 68 | 58 | 10 |
 AML | 60 | 51 | 9 |
 Oncocytoma | 45 | 37 | 8 |
Tumor size (cm) | |||
 1–2 | 79 | 66 | 13 |
 2–3 | 84 | 71 | 13 |
 3–4 | 56 | 51 | 5 |
 4–5 | 33 | 27 | 6 |
 5–6 | 29 | 21 | 8 |
 6– | 27 | 22 | 5 |
CT phases | |||
 Four phase | 183 | 145 | 38 |
 Three phase | 66 | 54 | 12 |
 Two phasea | 46 | 46 | – |
 Single phasea | 13 | 13 | – |