Skip to main content
Fig. 8 | Biological Procedures Online

Fig. 8

From: Deep learning classification of uveal melanoma based on histopathological images and identification of a novel indicator for prognosis of patients

Fig. 8

Construction of nomogram. A Forest plots of univariate Cox regression for histopathologic DL-signature, gene-signature, and clinical variables. B Forest plots of multivariate Cox regression for histopathologic DL-signature, gene-signature, and clinical variables. C Time dependent C-index of DL-signature, gene-signature, and clinical variables (tumor stage, histological type, metastasis status, chromosome 3 status and SCNA_Cluster). D Nomogram included DL-signature, gene-signature, age, tumor stage and metastasis status which predicts the 3-, and 5-year of overall survival time for patients TCGA-UVM cohort. E Calibration curves of the nomogram for the estimation of 3-, and 5-year of overall survival rates. F Time dependent ROC of nomogram. G The decision curves of nomogram, DL-signature, and gene-signature. H RMS curves for DL-signature and nomogram. I RMS curves for gene-signature and nomogram. J RMS curves for DL-signature and gene-signature. Each point represents the RMS time of corresponding DL-signature, gene-signature and nomogram scores

Back to article page