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Fig. 3 | BMC Neurology

Fig. 3

From: MRI-based clinical-radiomics nomogram to predict early neurological deterioration in isolated acute pontine infarction: a two-center study in Northeast China

Fig. 3

Screening of radiomics features based on LASSO regression analysis. (A) Distribution of coefficients of the LASSO regression. Each line represents a radiomics feature. (B) Application of 10-fold cross-verification for tuning optimal parameters in LASSO regression. Finally, the optimal lambda (λ) 0.044984 was obtained, and a total of 9 radiomics features were filtered. (C) Histogram of coefficients for 9 radiomics features

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BMC Neurology

ISSN: 1471-2377

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