This open access book gives a complete and comprehensive introduction to the fields of medical imaging systems, as designed for a broad range of applications.
Machine Learning and Medical Imaging presents state-of- the-art machine learning methods in medical image analysis.
In the past, for the most part, people who moved into management positions in medical imaging were chosen because they were the best technologists.
[ 149 ] T . Paus , F . Tomaioulo , N . Otaky , D . MacDonald , M . Petrides , J . Atlas , R . Morris , and A . C . Evans ... [ 159 ] J . L . Fuh , M . S . Mega , P . M . Thompson , J . L . Cummings , and A . W . Toga , “ Cortical ...
"An excellent primer on medical imaging for all members of the medical profession . . . including non-radiological specialists. It is technically solid and filled with diagrams and clinical images...
Describes the most common imaging technologies and their diagnostic applications so that pharmacists and other health professionals, as well as imaging researchers, can understand and interpret medical imaging science This book guides ...
This book gives the reader a clinically-relevant overview of evidence-based imaging, with topics including epidemiology, patient selection, imaging strategies, test performance, cost-effectiveness, radiation safety and applicability.
This book is designed to provide explanations for these and other issues in order to relieve some of the anxiety related to medical imaging studies.
This book is a concise guide to ordering radiology tests for diagnosis and treatment and provides best practice guidelines for patients whose management depends on a clinical question that is best approached through imaging.
Covering conventional and modern medical imaging techniques, this book encompasses radiography, fluoroscopy, computed tomography, magnetic resonance imaging, ultrasound, and Raman spectroscopy in medicine.