Medical image processing and analysis (also known as Radiomics) is a rapidly growing
discipline that maps digital medical images into quantitative data, with the end goal of …

Simple Summary Radiomics could increase the value of medical images for oncologic
patients, allowing for the identification of novel imaging biomarkers and building prediction …

Radiomics is a rapidly developing field of research focused on the extraction of quantitative
features from medical images, thus converting these digital images into minable, high …

Radiomics, the high-throughput mining of quantitative image features from standard-of-care
medical imaging that enables data to be extracted and applied within clinical-decision …

Clinical medicine, particularly oncology, is progressing toward personalized care. Whereas
the terms genomics, proteomics, transcriptomics, and metabolomics have dominated …

Simple Summary Part I is an overview aimed to investigate some technical principles and
the main fields of radiomic application in gastrointestinal oncologic imaging (CT and MRI) …

The domain of investigation of radiomics consists of large-scale radiological image analysis
and association with biological or clinical endpoints. The purpose of the present study is to …

Radiomics refers to the extraction of mineable data from medical imaging and has been
applied within oncology to improve diagnosis, prognostication, and clinical decision support …

Radiomics–the high-throughput computation of quantitative image features extracted from
medical imaging modalities-can be used to aid clinical decision support systems in order to …

Background Radiogenomics is the extension of radiomics through the combination of
genetic and radiomic data. Because genetic testing remains expensive, invasive, and time …