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Table 1 Datasets used in the experiments

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)

  1. N denotes the number of samples, with the number of scans removed from the original dataset in parenthesis (excluded); for example, there were 203 scans in the Desmoid dataset, 8 of which have been removed. In-plane resolution and slice thickness are reported as median (range). CT Computed tomography, MRI Magnetic resonance imaging. For the datasets, see references [9, 10]