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Comparative analysis of deep learning and radiomics models in predicting hepatocellular carcinoma differentiation via ultrasound

ObjectiveThis study aimed to develop and compare predictive models for hepatocellular carcinoma (HCC) differentiation using ultrasound-based radiomics and deep learning, and to evaluate the clinical utility of a combined model.MethodsRadiomics and deep learning models were constructed from grayscale...

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Principais autores: Luohang Xu, Yanhua Huang, Hong Fu, Jianhua Yu, Baochun Lu, Yalan Zheng, Jiaxuan Qian, Hongwei Qian
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2025-09-01
coleção:Frontiers in Medicine
Assuntos:
hepatocellular carcinoma
radiomics
deep learning
ultrasound
tumor differentiation
Acesso em linha:https://www.frontiersin.org/articles/10.3389/fmed.2025.1685725/full
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