Artificial intelligence in the detection, characterisation and prediction of hepatocellular carcinoma: a narrative review-Reference-Cited by-同舟云学术

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Artificial intelligence in the detection, characterisation and prediction of hepatocellular carcinoma: a narrative review

Published:2021-01 Issue: Volume:0 Page:0-0
ISSN:2415-1289
Container-title:Translational Gastroenterology and Hepatology
language:
Short-container-title:Transl Gastroenterol Hepatol

Author:

Kawka Michal,Dawidziuk Aleksander,Jiao Long R.,Gall Tamara M. H.

Publisher

AME Publishing Company

Subject

Gastroenterology,Hepatology

Link

https://tgh.amegroups.com/article/download/6429/pdf

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. HCCNet Fusion: a synergistic approach for accurate hepatocellular carcinoma staging using deep learning paradigm;Multimedia Tools and Applications;2024-06-10

2. Hepatocellular carcinoma surveillance after HBsAg seroclearance;Exploration of Digestive Diseases;2024-05-11

3. Preoperative detection of hepatocellular carcinoma's microvascular invasion on CT-scan by machine learning and radiomics: A preliminary analysis;European Journal of Surgical Oncology;2024-03

4. Decision-Making on the Diagnosis of Oncological Diseases Using Cost-Sensitive SVM Classifiers Based on Datasets with a Variety of Features of Different Natures;Mathematics;2024-02-08

5. A Systematic Review on Role of Deep Learning in CT scan for Detection of Gall Bladder Cancer;Archives of Computational Methods in Engineering;2024-02-05

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