Quantitative analysis of medical images can provide objective tools for diagnosis,
prognostication, and disease monitoring. Radiomics refers to automated extraction of a large …

Radiomics is an emerging area within clinical radiology research. It seeks to take full
advantage of all the information contained in multiple medical imaging modalities. With a …

In the past decade, the field of medical image analysis has grown exponentially, with an
increased number of pattern recognition tools and an increase in data set sizes. These …

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 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, 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 …

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 …

The increasing use of biomarkers in cancer have led to the concept of personalized
medicine for patients. Personalized medicine provides better diagnosis and treatment …

Radiomics uses multiple image features from medical imaging data to predict clinical
variables. Various features can be constructed to describe the properties of the full image, or …

Quantitative analysis of tumour characteristics based on medical imaging is an emerging
field of research. In recent years, quantitative imaging features derived from CT, positron …