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 …

The global healthcare sector continues to grow rapidly and is reflected as one of the fastest-
growing sectors in the fourth industrial revolution (4.0). The majority of the healthcare …

The high-throughput extraction of quantitative imaging features from medical images for the
purpose of radiomic analysis, ie, radiomics in a broad sense, is a rapidly developing and …

Purpose Accurate prognostic markers are urgently needed to identify diffuse large B-Cell
lymphoma (DLBCL) patients at high risk of progression or relapse. Our purpose was to …

The application of radiogenomics in oncology has great prospects in precision medicine.
Radiogenomics combines large volumes of radiomic features from medical digital images …

Purpose Intrahepatic cholangiocarcinoma (IHC) is an aggressive disease with few reliable
preoperative biomarkers. This study aims to elucidate if radiomics extracted from …

Radiomics is a high-throughput approach to image phenotyping. It uses computer
algorithms to extract and analyze a large number of quantitative features from radiological …

Radiomics aims to support clinical decisions through its workflow, which is divided into:(i)
target identification and segmentation,(ii) feature extraction,(iii) feature selection, and (iv) …

Purpose To develop a predictive model for liver metastases in patients with pancreatic
ductal adenocarcinoma (PDAC) based on textural features of the primary tumor extracted by …

Purpose Aim of the study was to perform CT texture analysis in patients with gastric cancer
(GC) to investigate potential role of radiomics for predicting the occurrence of peritoneal …