Artificial intelligence in medical imaging : from theory to clinical practice / by Lia Morra, Silvia Delsanto, Loredana Correale.

Format:

Book

Author/Creator:

Morra, Lia, author.

Delsanto, Silvia, author.

Correale, Loredana, author.

Contributor:

Taylor & Francis eBooks.

Class of 1924 Book Fund.

Language:

English

Subjects (All):

Diagnostic imaging.

Artificial intelligence--Medical applications.

Artificial intelligence.

Diagnostic Imaging.

Artificial Intelligence.

Medical Subjects:

Diagnostic Imaging.

Artificial Intelligence.

Physical Description:

1 online resource

Place of Publication:

Boca Raton : CRC Press, [2020]

System Details:

text file

Summary:

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, describing the recently introduced concept of software as a medical device, as well as good practices and relevant considerations for training and testing machine learning systems for medical use. Open problematics on the validation for public use of systems which by nature continuously evolve through new data is also explored. The book will be of interest to graduate students in medical physics, biomedical engineering and computer science, in addition to researchers and medical professionals operating in the medical imaging domain, who wish to better understand these technologies and the future of the field. Features: An accessible yet detailed overview of the field Explores a hot and growing topic Provides an interdisciplinary perspective

Contents:

Fundamentals of machine learning

Introduction to deep learning

Applying AI in medical imaging

Designing AI systems for the clinical practice

Future perspectives.

Notes:

Includes bibliographical references and index.

Electronic reproduction. London Available via World Wide Web.

Description based on print version record.

Local Notes:

Acquired for the Penn Libraries with assistance from the Class of 1924 Book Fund.

Other Format:

Print version: Artificial intelligence in medical imaging

ISBN:

9780367229184

0367229188

1000753085

9781000753080

9781000753202

1000753204

9781000753141

100075314X

Publisher Number:

99990588672

Access Restriction:

Restricted for use by site license.