Artificial Intelligence in Medical Imaging - From Theory to Clinical Practice

Choice Recommended Title, January 2021

This book, written by authors with more than a decade of experience in the design and development of artificial intelligence (AI) systems in medical imaging, will guide readers in the understanding of one of the most exciting fields today.

After an introductory description of classical machine learning techniques, the fundamentals of deep learning are explained in a simple yet comprehensive manner. The book then proceeds with a historical perspective of how medical AI developed in time, detailing which applications triumphed and which failed, from the era of computer aided detection systems on to the current cutting-edge applications in deep learning today, which are starting to exhibit on-par performance with clinical experts.

In the last section, the book offers a view on the complexity of the validation of artificial intelligence applications for commercial use, describ