From: The effect of preprocessing filters on predictive performance in radiomics
Dataset | Modality | N (excluded) | In-plane resolution (mm) | Slice thickness (m) |
---|---|---|---|---|
CRLM | CT | 76 (1) | 0.7 (0.6–0.9) | 5.0 (1.0–8.0) |
Desmoid | MRI | 195 (8) | 0.7 (0.2–1.8) | 5.0 (1.0–10.0) |
GIST | CT | 244 (2) | 0.8 (0.6–1.0) | 3.0 (0.6–6.0) |
HN | CT | 134 (1) | 1.0 (1.0–1.1) | 3.0 (1.5–3.0) |
Lipo | MRI | 113 (2) | 0.7 (0.2–1.4) | 5.5 (1.0–9.1) |
Liver | MRI | 186 (0) | 0.8 (0.6–1.6) | 7.7 (1.0–11.0) |
Melanoma | CT | 97 (6) | 0.7 (0.5–1.0) | 1.2 (0.6–2.0) |