A practical guide to performing and analysing cardiovascular scans, this handbook is fully updated in this second edition. Containing a wealth of example scan images and detailed guidance on techniques and interpretations, this book is an invaluable workstation resource.

This Research Topic is part of the Insights in Frontiers in Cardiovascular Medicine series. Following the success of the inaugural series, Frontiers has organized a series of Research Topics to highlight the latest advancements in research across the field of cardiovascular medicine, with articles from the members of our accomplished Editorial Boards. This editorial initiative of particular relevance, led by Professor Matteo Anselmino, Specialty Chief Editor of the Cardiac Rhythmology section, together with Dr. Hung-Fat Tse, is focused on new insights, novel developments, current challenges, latest discoveries, recent advances, and future perspectives in the field of cardiac rhythmology. The Research Topic solicits brief, forward-looking contributions from the editorial board members that describe the state of the art, outlining recent developments and major accomplishments that have been achieved and that need to occur to move the field forward. Authors are encouraged to identify the greatest challenges in the sub-disciplines, and how to address those challenges.

Before the modern age of medicine, the chance of surviving a terminal disease such as cancer was minimal at best. After embracing the age of computer-aided medical analysis technologies, however, detecting and preventing individuals from contracting a variety of life-threatening diseases has led to a greater survival percentage and increased the development of algorithmic technologies in healthcare. Deep Learning Applications in Medical Imaging is a pivotal reference source that provides vital research on the application of generating pictorial depictions of the interior of a body for medical intervention and clinical analysis. While highlighting topics such as artificial neural networks, disease prediction, and healthcare analysis, this publication explores image acquisition and pattern recognition as well as the methods of treatment and care. This book is ideally designed for diagnosticians, medical imaging specialists, healthcare professionals, physicians, medical researchers, academicians, and students.