Classification and Prognosis Prediction from Histopathological Images of Hepatocellular Carcinoma by a Fully Automated Pipeline Based on Machine Learning
Author:
Publisher
Springer Science and Business Media LLC
Subject
Oncology,Surgery
Link
http://link.springer.com/content/pdf/10.1245/s10434-019-08190-1.pdf
Reference79 articles.
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2. Rastogi A. Changing role of histopathology in the diagnosis and management of hepatocellular carcinoma. World J Gastroenterol. 2018;24(35):4000–13. https://doi.org/10.3748/wjg.v24.i35.4000.
3. Qin LX, Tang ZY. The prognostic molecular markers in hepatocellular carcinoma. World J Gastroenterol. 2002;8(3):385–92. https://doi.org/10.3748/wjg.v8.i3.385.
4. Lauwers GY, Terris B, Balis UJ, Batts KP, Regimbeau JM, Chang Y, et al. Prognostic histologic indicators of curatively resected hepatocellular carcinomas: a multi-institutional analysis of 425 patients with definition of a histologic prognostic index. Am J Surg Pathol. 2002;26(1):25–34. https://doi.org/10.1097/00000478-200201000-00003.
5. Calderaro J, Couchy G, Imbeaud S, Amaddeo G, Letouze E, Blanc JF, et al. Histological subtypes of hepatocellular carcinoma are related to gene mutations and molecular tumour classification. J Hepatol. 2017;67(4):727–38. https://doi.org/10.1016/j.jhep.2017.05.014.
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