Radiomics is a process that allows the extraction and analysis of quantitative data from
medical images. It is an evolving field of research with many potential applications in …

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 …

Recent advancements in signal processing (SP) and machine learning, coupled with
electronic medical record keeping in hospitals and the availability of extensive sets of …

Over the last decade there has been an extensive evolution in the Artificial Intelligence (AI)
field. Modern radiation oncology is based on the exploitation of advanced computational …

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 …

Handbook of Medical Image Computing and Computer Assisted Intervention presents
important advanced methods and state-of-the art research in medical image computing and …

Introduction: The radiological reading room is undergoing a paradigm shift to a symbiosis of
computer science and radiology using artificial intelligence integrated with machine and …

Purpose To perform a rapid review of the recent literature on radiomics and breast cancer
(BC). Methods A rapid review, a streamlined approach to systematically identify and …

Radiomics characterizes tumor phenotypes by extracting large numbers of quantitative
features from radiological images. Radiomic features have been shown to provide …

Rapid advances in automated methods for extracting large numbers of quantitative features
from medical images have led to tremendous growth of publications reporting on radiomic …