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Fig. 3 | Cancer Imaging

Fig. 3

From: Deep learning radiomics-based prediction model of metachronous distant metastasis following curative resection for retroperitoneal leiomyosarcoma: a bicentric study

Fig. 3

Feature selection for the development of the DLRS using the LASSO regression model with a vertical line generated at the log (λ) value by using ten-fold cross-validation (a, b); The five radiomics features and 16 deep learning features and their corresponding coefficients (c); DLRS, deep learning radiomics signature; LASSO, least absolute shrinkage and selection operator

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