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 …

Medical imaging can assess the tumor and its environment in their entirety, which makes it
suitable for monitoring the temporal and spatial characteristics of the tumor. Progress in …

Background & Aims Microvascular invasion (MVI) impairs surgical outcomes in patients with
hepatocellular carcinoma (HCC). As there is no single highly reliable factor to preoperatively …

Background Because responses of patients with cancer to immunotherapy can vary in
success, innovative predictors of response to treatment are urgently needed to improve …

Radiomics relies on the extraction of a wide variety of quantitative image-based features to
provide decision support. Magnetic resonance imaging (MRI) contributes to the …

Advances in both imaging and computers have synergistically led to a rapid rise in the
potential use of artificial intelligence in various radiological imaging tasks, such as risk …

Purpose: We evaluated the performance of the newly proposed radiomics of multiparametric
MRI (RMM), developed and validated based on a multicenter dataset adopting a radiomic …

Background Occult peritoneal metastasis (PM) in advanced gastric cancer (AGC) patients is
highly possible to be missed on computed tomography (CT) images. Patients with occult …

Radiomics, which involves the use of high-dimensional quantitative imaging features for
predictive purposes, is a powerful tool for developing and testing medical hypotheses …

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 …