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Comment
. 2021 May;73(5):2077-2078.
doi: 10.1002/hep.31543.

Letter to the Editor: Predicting Survival After Hepatocellular Carcinoma Resection Using Deep-Learning on Histological Slides

Shihui Zhen  1 , Xiujun Cai  1
Affiliations
Comment

Letter to the Editor: Predicting Survival After Hepatocellular Carcinoma Resection Using Deep-Learning on Histological Slides

Shihui Zhen et al. Hepatology. 2021 May.
No abstract available

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Comment in

  • REPLY.
    Calderaro J, Schmauch B, Saillard C, Courtiol P. Calderaro J, et al. Hepatology. 2021 May;73(5):2078-2079. doi: 10.1002/hep.31540. Hepatology. 2021. PMID: 32894800 No abstract available.

Comment on

References

    1. Saillard C, Schmauch B, Laifa O, Moarii M, Toldo S, Zaslavskiy M, et al. Predicting survival after hepatocellular carcinoma resection using deep-learning on histological slides. Hepatology 2020 Feb 28. https://doi.org/10.1002/hep.31207. [Epub ahead of print]
    1. Forner A, Reig M, Bruix J. Hepatocellular carcinoma. Lancet 2018;391:1301-1314.
    1. Gorgi Zadeh S, Schmid M. Bias in cross-entropy-based training of deep survival networks. IEEE Trans Pattern Anal Mach Intell 2020 Mar 8. https://doi.org/10.1109/tpami.2020.2979450. [Epub ahead of print]
    1. She Y, Jin Z, Wu J, Deng J, Zhang L, Su H, et al. Development and validation of a deep learning model for non-small cell lung cancer survival. JAMA Netw Open 2020;3:e205842.

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