Dual segmentation models for poorly and well-differentiated hepatocellular carcinoma using two-step transfer deep learning on dynamic contrast-enhanced CT images
Author:
Publisher
Springer Science and Business Media LLC
Subject
Radiology, Nuclear Medicine and imaging,Instrumentation,Biomedical Engineering,Biophysics,Radiological and Ultrasound Technology,Biotechnology
Link
https://link.springer.com/content/pdf/10.1007/s13246-022-01202-7.pdf
Reference37 articles.
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2. Villanueva A (2019) Hepatocellular carcinoma. N Engl J Med 380:1450–1462. https://doi.org/10.1056/nejmra1713263
3. World Health Organization Liver Factsheet. Globocan. https://gco.iarc.fr/today/data/factsheets/cancers/11-Liver-fact-sheet.pdf. Accessed Jun 11, 2022.
4. Kim E, Viatour P (2020) Hepatocellular carcinoma: old friends and new tricks. Exp Mol Med 52:1898–1907. https://doi.org/10.1038/s12276-020-00527-1
5. Yamamoto M, Yoshida M, Furuse J, Sano K, Ohtsuka M, Yamashita S et al (2021) Clinical practice guidelines for the management of liver metastases from extrahepatic primary cancers 2021. J Hepato-Biliary-Pancreatic Sci 28(1):1–25
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