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 the quantitative analysis of standard‐of‑care medical imaging; the information
obtained can be applied within clinical decision support systems to create diagnostic …

Radiomics research is rapidly growing in recent years, but more concerns on radiomics
reliability are also raised. This review attempts to update and overview the current status of …

Abstract Background Coronavirus disease 2019 (COVID-19) is very contagious. Cases
appear faster than the available Polymerase Chain Reaction test kits in many countries …

Objective To identify CT-acquisition parameters accounting for radiomics variability and to
develop a post-acquisition CT-image correction method to reduce variability and improve …

Radiomics is a technique that extracts quantitative features from medical images using data‐
characterization algorithms. Radiomic features can be used to identify tissue characteristics …

Recent advances in computer technology have generated a new area of research known as
radiomics. Radiomics is defined as the high throughput extraction and analysis of …

Existing quantitative imaging biomarkers (QIBs) are associated with known biological tissue
characteristics and follow a well-understood path of technical, biological and clinical …

The field of radiomics is at the forefront of personalized medicine. However, there is concern
that high variation in imaging parameters will impact robustness of radiomic features and …

The application of artificial intelligence (AI) in diagnostic imaging has gained significant
interest in recent years, particularly in lung cancer detection. This systematic review aims to …