241243 Introduction: In the field of Molecular Imaging, there is more to it than what meets the
eye. What the human eyes of Nuclear Physicians cannot perceive–Radiomics can …

Diagnostic imaging modalities are undergoing a paradigm shift in technological advances
and this has significantly impacted patient diagnosis and treatment. The introduction of …

Purpose Noticing the fast growing translation of artificial intelligence (AI) technologies to
medical image analysis this paper emphasizes the future role of the medical physicist in this …

Radiomics is a promising and fast-developing field within oncology that involves the mining
of quantitative high-dimensional data from medical images. Radiomics has the potential to …

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 rapid development of artificial intelligence technology in medical data analysis has led
to the concept of radiomics. This book introduces the essential and latest technologies in …

Radiomics is a catchall term used for the quantitative analysis of medical imaging data and
is heavily dependent on machine learning. The central hypothesis of radiomics is that …

The aim of this review is to provide readers with an update on the state of the art, pitfalls,
solutions for those pitfalls, future perspectives, and challenges in the quickly evolving field of …

Radiomics uses advanced mathematical analysis of pixel-level information from radiologic
images to extract existing information in traditional imaging algorithms. It is intended to find …

In recent years, radiomics, defined as the extraction of large amounts of quantitative features
from medical images, has gained emerging interest. Radiomics consists of the extraction of …