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Fig. 4 | Journal of Translational Medicine

Fig. 4

From: Deep learning-based pathological prediction of lymph node metastasis for patient with renal cell carcinoma from primary whole slide images

Fig. 4

Prognosis prediction of patients with renal cell carcinoma through the DLNM. (A) Kaplan-Meier survival analysis stratified by DLNM for overall survival in three independent patient cohorts. (B) Cox regression analysis of the DLNM for overall survival in three independent patient cohorts. (C) Differences in the distribution of renal cell carcinoma with different tumor grades between patients with high or low DLNM. DLNM, deep learning-based prediction of lymph node metastasis; TCGA, the Cancer Genome Atlas; Shanghai General Hospital, SGH; CPTAC, Clinical Proteomic Tumor Analysis Consortium; HR, hazard ratio; CI, confidence interval; ns, no significant

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