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Novel Unsupervised Machine Learning Model Using Multi-Parametric Radiomics for Prognostic Stratification of Bifocal Hepatocellular Carcinoma

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Bibliographic Details
Published in:Journal of Hepatocellular Carcinoma
Format: Online Article RSS Article
Published: 2026
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container_title Journal of Hepatocellular Carcinoma
description
discipline_display Communicable Diseases, Epidemiology
discipline_facet Communicable Diseases, Epidemiology
format Online Article
RSS Article
genre Journal Article
id rss_article:79415
institution FRELIP
journal_source_facet Journal of Hepatocellular Carcinoma
last_indexed 2026-06-20T21:40:16.351Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Novel Unsupervised Machine Learning Model Using Multi-Parametric Radiomics for Prognostic Stratification of Bifocal Hepatocellular Carcinoma
Communicable Diseases, Epidemiology
General
Communicable Diseases, Epidemiology
sub_discipline_display General
sub_discipline_facet General
subject_display Communicable Diseases, Epidemiology
General
Communicable Diseases, Epidemiology
subject_facet Communicable Diseases, Epidemiology
General
Communicable Diseases, Epidemiology
title Novel Unsupervised Machine Learning Model Using Multi-Parametric Radiomics for Prognostic Stratification of Bifocal Hepatocellular Carcinoma
title_alt Novedoso modelo de aprendizaje automático no supervisado utilizando radiómica multiparamétrica para la estratificación pronóstica del carcinoma hepatocelular bifocal
Nouveau modèle d'apprentissage automatique non supervisé utilisant la radiomique multiparamétrique pour la stratification pronostique du carcinome hépatocellulaire bifocal
Novo Modelo de Aprendizado de Máquina Não Supervisionado Usando Radiômica Multiparamétrica para Estratificação Prognóstica de Carcinoma Hepatocelular Bifocal
title_auth Novel Unsupervised Machine Learning Model Using Multi-Parametric Radiomics for Prognostic Stratification of Bifocal Hepatocellular Carcinoma
title_es_txt Novedoso modelo de aprendizaje automático no supervisado utilizando radiómica multiparamétrica para la estratificación pronóstica del carcinoma hepatocelular bifocal
title_fr_txt Nouveau modèle d'apprentissage automatique non supervisé utilisant la radiomique multiparamétrique pour la stratification pronostique du carcinome hépatocellulaire bifocal
title_full Novel Unsupervised Machine Learning Model Using Multi-Parametric Radiomics for Prognostic Stratification of Bifocal Hepatocellular Carcinoma
title_fullStr Novel Unsupervised Machine Learning Model Using Multi-Parametric Radiomics for Prognostic Stratification of Bifocal Hepatocellular Carcinoma
title_full_unstemmed Novel Unsupervised Machine Learning Model Using Multi-Parametric Radiomics for Prognostic Stratification of Bifocal Hepatocellular Carcinoma
title_pt_txt Novo Modelo de Aprendizado de Máquina Não Supervisionado Usando Radiômica Multiparamétrica para Estratificação Prognóstica de Carcinoma Hepatocelular Bifocal
title_short Novel Unsupervised Machine Learning Model Using Multi-Parametric Radiomics for Prognostic Stratification of Bifocal Hepatocellular Carcinoma
title_sort novel unsupervised machine learning model using multi-parametric radiomics for prognostic stratification of bifocal hepatocellular carcinoma
topic Communicable Diseases, Epidemiology
General
Communicable Diseases, Epidemiology
url https://www.dovepress.com/novel-unsupervised-machine-learning-model-using-multi-parametric-radio-peer-reviewed-fulltext-article-JHC