Radiomic analysis offers a powerful tool for the extraction of clinically relevant information
from radiologic imaging. Radiomics can be used to predict patient outcome through …

Hepatocellular carcinoma (HCC), the most common form of primary liver cancer, typically
develops on the background of chronic liver disease and is an aggressive disease with …

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 …

Hepatocellular carcinoma (HCC) is a morbid condition for which surgical and ablative
therapy are the only options for cure. Nonetheless, over half of patients treated with an R0 …

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 …

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 …

Quantitative extraction of high-dimensional mineable data from medical images is a process
known as radiomics. Radiomics is foreseen as an essential prognostic tool for cancer risk …

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 extracts and mines large number of medical imaging features quantifying tumor
phenotypic characteristics. Highly accurate and reliable machine-learning approaches can …

Human cancers exhibit strong phenotypic differences that can be visualized noninvasively
by medical imaging. Radiomics refers to the comprehensive quantification of tumour …