Deep learning-based radiomics based on contrast-enhanced ultrasound predicts early recurrence and survival outcome in hepatocellular carcinoma-Reference-Cited by-同舟云学术

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Deep learning-based radiomics based on contrast-enhanced ultrasound predicts early recurrence and survival outcome in hepatocellular carcinoma

Published:2022-12-15 Issue:12 Volume:14 Page:2380-2392
ISSN:1948-5204
Container-title:World Journal of Gastrointestinal Oncology
language:
Short-container-title:World J Gastrointest Oncol

Author:

Huang Zhe,Shu Zhu,Zhu Rong-Hua,Xin Jun-Yi,Wu Ling-Ling,Wang Han-Zhang,Chen Jun,Zhang Zhi-Wei,Luo Hong-Chang,Li Kai-Yan

Publisher

Baishideng Publishing Group Inc.

Subject

Gastroenterology,Oncology

Reference18 articles.

1. Asia–Pacific clinical practice guidelines on the management of hepatocellular carcinoma: a 2017 update

2. Influence of surgical approach and quality of resection on the probability of cure for early-stage HCC occurring in cirrhosis

3. Systematic review of outcomes of liver resection for early hepatocellular carcinoma within the Milan criteria

4. Hepatocellular Carcinoma

5. Poon RT, Fan ST, Ng IO, Lo CM, Liu CL, Wong J. Different risk factors and prognosis for early and late intrahepatic recurrence after resection of hepatocellular carcinoma. Cancer 2000; 89: 500-507

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2. Open science practices need substantial improvement in prognostic model studies in oncology using machine learning;Journal of Clinical Epidemiology;2024-01

3. Radiomics-based Machine Learning to Predict the Recurrence of Hepatocellular Carcinoma: A Systematic Review and Meta-analysis;Academic Radiology;2023-10

4. Update on the Applications of Radiomics in Diagnosis, Staging, and Recurrence of Intrahepatic Cholangiocarcinoma;Diagnostics;2023-04-20

5. Radiological findings in non-surgical recurrent hepatocellular carcinoma: From locoregional treatments to immunotherapy;World Journal of Gastroenterology;2023-03-21

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