Liver disease is a major health concern globally, with high morbidity and mor-tality rates.
Precise diagnosis and assessment are vital for guiding treatment approaches, predicting …

Objective To systematically review the efficacy of radiomics models derived from computed
tomography (CT) or magnetic resonance imaging (MRI) in preoperative prediction of the …

Purpose To explore the predictive potential of intratumoral and multiregion peritumoral
radiomics features extracted from multiparametric MRI for predicting pathological …

Purpose To develop and compare various machine learning (ML) classifiers that employ
radiomics extracted from contrast-enhanced magnetic resonance imaging (CEMRI) for …

Background Hepatocellular carcinoma (HCC) is a highly heterogeneous cancer. Accurate
preoperative prediction of histological grade holds potential for improving clinical …

BACKGROUND Radiomics is a promising tool that may increase the value of magnetic
resonance imaging (MRI) for different tasks related to the management of patients with …

Objective To predict the appearance of early neurological deterioration (END) among
patients with isolated acute pontine infarction (API) based on magnetic resonance imaging …

Background Primary liver cancer (PLC), notably hepatocellular carcinoma (HCC), stands as
a formidable global health challenge, ranking as the sixth most prevalent malignant tumor …

Background: To study the additive value of radiomics features to the BCLC staging system in
clustering HCC patients. Methods: A total of 266 patients with HCC were included in this …