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Fig. 2 | Journal of Translational Medicine

Fig. 2

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

Fig. 2

Overall performance of the DLNM in the internal validation and external validations through receiver operating characteristic curve. (A) Evaluation of the DLNM in the TCGA testing cohort. (B) Verification of the DLNM in the SGH cohort. (C) Verification of the DLNM in the CPTAC cohort. DLNM, deep learning-based prediction of lymph node metastasis; TCGA, the Cancer Genome Atlas; Shanghai General Hospital, SGH; CPTAC, Clinical Proteomic Tumor Analysis Consortium; AUC, area under the curve with 95% confidence interval

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