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Table 1 Summary statistics of patient characteristics

From: Convolutional neural network-based magnetic resonance image differentiation of filum terminale ependymomas from schwannomas

Variable

Cohort, No.(%)

Ependymoma

Schwannoma

Patient demographics

 No. of individuals (train: test)

84(50:34)

84(50:34)

 Age(mean ± SD)

50 ± 21

68 ± 12

 Gender (Male: Female)

24:60

56:28

No. of images

 Cross-validation training dataset (T1-WI: T2-WI: CE-T1)

406 (117:165:124)

402 (112:167:123)

 External test dataset (T1-WI: T2-WI: CE-T1)

230 (65:97:68)

210 (59:85:66)