Radiomics is a process that allows the extraction and analysis of quantitative data from
medical images. It is an evolving field of research with many potential applications in …

Purpose An ever-growing number of predictive models used to inform clinical decision
making have included quantitative, computer-extracted imaging biomarkers, or “radiomic …

Purpose To identify the reproducible and nonredundant radiomics features (RFs) for
computed tomography (CT). Materials and Methods Two phantoms were used to test RF …

The image biomarker standardisation initiative (IBSI) is an independent international
collaboration which works towards standardising the extraction of image biomarkers from …

Background Results of recent phantom studies show that variation in CT acquisition
parameters and reconstruction techniques may make radiomic features largely …

Purpose The aim of this systematic review was to analyse literature on artificial intelligence
(AI) and radiomics, including all medical imaging modalities, for oncological and non …

Recently introduced long-axial field-of-view (LAFOV) PET/CT systems represent one of the
most significant advancements in nuclear medicine since the advent of multi-modality …

This paper reviews objective methods for prognostic modelling of cancer tumours located
within radiology images, a process known as radiomics. Radiomics is a novel feature …

Purpose Radiomic features derived from the texture analysis of different imaging modalities
e show promise in lesion characterisation, response prediction, and prognostication in lung …

It is now recognized that intratumoral heterogeneity is associated with more aggressive
tumor phenotypes leading to poor patient outcomes (1). Medical imaging plays a central role …