The high-throughput extraction of quantitative imaging features from medical images for the
purpose of radiomic analysis, ie, radiomics in a broad sense, is a rapidly developing and …

The use of artificial intelligence (AI) and radiomics in the healthcare setting to advance
disease diagnosis and management and facilitate the creation of new therapeutics is …

Radiogenomics, focusing on the relationship between genomics and imaging phenotypes,
has been widely applied to address tumour heterogeneity and predict immune …

Purpose The purpose of this study is to evaluate the Radiomics and Machine Learning
Analysis based on MRI in the assessment of Liver Mucinous Colorectal Metastases. Query …

Simple Summary The objective of the study was to assess the radiomics features obtained
by computed tomography (CT) examination as biomarkers in order to select patients with …

Background Radiomics and radiogenomics are two words that recur often in language of
radiologists, nuclear doctors and medical physicists especially in oncology field. Radiomics …

Background Radiomics is an emerging field and has a keen interest, especially in the
oncology field. The process of a radiomics study consists of lesion segmentation, feature …

The assessment of nodal involvement in patients with rectal cancer (RC) is fundamental in
disease management. Magnetic Resonance Imaging (MRI) is routinely used for local and …

This article provides an overview of diagnostic evaluation and ablation treatment
assessment in Hepatocellular Carcinoma (HCC). Only studies, in the English language from …

Combined hepatocellular-cholangiocarcinoma (cHCC-CCA) is a rare type of primary liver
malignancy. Among the risk factors, hepatitis B and hepatitis C virus infections, cirrhosis, and …