Mining Whole-liver Information with Deep Learning for Preoperatively Predicting HCC Recurrence-free Survival <sup>*</sup>-Reference-Cited by-同舟云学术

Mining Whole-liver Information with Deep Learning for Preoperatively Predicting HCC Recurrence-free Survival ^*

Published:2023-07-24 Issue: Volume: Page:
ISSN:
Container-title:2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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Author:

Huang Chao¹,Hu Peijun¹,Tian Yu²,Gao Yiwei¹,Wang Yangyang³,Zhang Qi³,Liang Tingbo³,Li Jingsong⁴

Affiliation:

1. Zhejiang Laboratory,Research Center for Healthcare Data Science,Hangzhou,China

2. Zhejiang University,Engineering Research Center of EMR and Intelligent Expert System, Ministry of Education, College of Biomedical Engineering and Instrument Science,Hangzhou,China

3. Zhejiang University School of Medicine,Department of Hepatobiliary and Pancreatic Surgery, the First Affiliated Hospital,Hangzhou,China

4. Research Center for Healthcare Data Science of Zhejiang Laboratory,Hangzhou,China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10339936/10339939/10340426.pdf?arnumber=10340426

Reference12 articles.

1. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

2. Neoadjuvant and adjuvant treatment strategies for hepatocellular carcinoma

3. Long-Term Survival Outcomes After Liver Resection for Binodular Hepatocellular Carcinoma: A Multicenter Cohort Study

4. Development of pre and post-operative models to predict early recurrence of hepatocellular carcinoma after surgical resection

5. Development of a nomogram to predict outcome after liver resection for hepatocellular carcinoma in Child-Pugh B cirrhosis

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