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Fig. 2 | BMC Medical Informatics and Decision Making

Fig. 2

From: A radiomics and deep learning nomogram developed and validated for predicting no-collapse survival in patients with osteonecrosis after multiple drilling

Fig. 2

Radiomics and DL feature selection using the LASSO-Cox regression model. a The partial likelihood deviance was plotted versus log (lambda) with radiomics features; (b) LASSO coefficient profiles of the 184 radiomics features; (c) The partial likelihood deviance was plotted versus log (lambda) with DL features; (d) LASSO coefficient profiles of the 512 DL features

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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