Objectives Radiomics is the extraction of quantitative data from medical imaging, which has
the potential to characterise tumour phenotype. The radiomics approach has the capacity to …

Lung malignancies have been extensively characterized through radiomics and deep
learning. By providing a three-dimensional characterization of the lesion, models based on …

Objectives Radiomic features derived from routine medical images show great potential for
personalized medicine in gastric cancer (GC). We aimed to evaluate the current status and …

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

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

Simple Summary In the present study, we assessed the association of RAS mutation status
and radiomics derived data by Contrast Enhanced Magnetic Resonance Imaging (CE-MRI) …

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 …

Purpose Advanced medical image analytics is increasingly used to predict clinical outcome
in patients diagnosed with gastrointestinal tumors. This review provides an overview on the …

Precision medicine is becoming the standard of care in anti-cancer treatment. The
personalized precision management of cancer patients highly relies on the improvement of …

The evaluation of the efficacy of different therapies is of paramount importance for the
patients and the clinicians in oncology, and it is usually possible by performing imaging …