Fig. 8From: Development and validation of an ultrasound-based deep learning radiomics nomogram for predicting the malignant risk of ovarian tumoursThe workflow of US-based DLR_nomogram. Note: DLR, deep learning radiomics; US, ultrasound; ROI, region of interest; ICC, intraclass correlation coefficient; LASSO, least absolute shrinkage and selection operator; Grad-CAM, gradient-weighted class activation mapping; AUC, area under the curve; DCA, decision curve analysis; GLDM, gray level dependence matrix; GLSZM, gray level size zone matrix; GLRLM, gray level run length matrix; GLCM, gray level co-occurrence matrixBack to article page