Radiomics is a quantitative approach to medical imaging, which aims at enhancing the
existing data available to clinicians by means of advanced mathematical analysis. Through …

Radiomics is an emerging translational field of research aiming to extract mineable high-
dimensional data from clinical images. The radiomic process can be divided into distinct …

Textural and shape analysis is gaining considerable interest in medical imaging, particularly
to identify parameters characterizing tumor heterogeneity and to feed radiomic models …

The impact of PET image acquisition and reconstruction parameters on SUV measurements
or radiomic feature values is widely documented. This scanner effect is detrimental to the …

Radiomics is an emerging field in quantitative imaging that uses advanced imaging features
to objectively and quantitatively describe tumour phenotypes. Radiomic features have …

Quantitative extraction of high-dimensional mineable data from medical images is a process
known as radiomics. Radiomics is foreseen as an essential prognostic tool for cancer risk …

Purpose Many radiomics features were originally developed for non‐medical imaging
applications and therefore original assumptions may need to be reexamined. In this study …

Radiomics converts medical images into mineable data via a high-throughput extraction of
quantitative features used for clinical decision support. However, these radiomic features are …

Several reports have shown that radiomic features are affected by acquisition and
reconstruction parameters, thus hampering multicenter studies. We propose a method that …

After seminal papers over the period 2009–2011, the use of texture analysis of PET/CT
images for quantification of intratumour uptake heterogeneity has received increasing …