Artificial intelligence for diagnosing and predicting survival of patients with renal cell carcinoma: Retrospective multi-center study

no code implementations • 12 Jan 2023 • Siteng Chen, Xiyue Wang, Jun Zhang, Liren Jiang, Ning Zhang, Feng Gao, Wei Yang, Jinxi Xiang, Sen yang, Junhua Zheng, Xiao Han

The OSrisk for the prediction of 5-year survival status achieved AUC of 0. 784 (0. 746-0. 819) in the TCGA cohort, which was further verified in the independent General cohort and the CPTAC cohort, with AUC of 0. 774 (0. 723-0. 820) and 0. 702 (0. 632-0. 765), respectively.

whole slide images

Deep learning-based approach to reveal tumor mutational burden status from whole slide images across multiple cancer types

no code implementations • 7 Apr 2022 • Siteng Chen, Jinxi Xiang, Xiyue Wang, Jun Zhang, Sen yang, Junzhou Huang, Wei Yang, Junhua Zheng, Xiao Han

MC-TMB algorithm also exhibited good generalization on the external validation cohort with an AUC of 0. 732 (0. 683-0. 761), and better performance when compared to other methods.

whole slide images