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Machine and Deep Learning in Oncology, Medical Physics and Radiology

Martin J Murphy editor Issam El Naqa editor

Format:Hardback

Publisher:Springer Nature Switzerland AG

Published:3rd Feb '22

Should be back in stock very soon

This hardback is available in another edition too:

Machine and Deep Learning in Oncology, Medical Physics and Radiology cover

This book, now in an extensively revised and updated second edition, provides a comprehensive overview of both machine learning and deep learning and their role in oncology, medical physics, and radiology. Readers will find thorough coverage of basic theory, methods, and demonstrative applications in these fields. An introductory section explains machine and deep learning, reviews learning methods, discusses performance evaluation, and examines software tools and data protection. Detailed individual sections are then devoted to the use of machine and deep learning for medical image analysis, treatment planning and delivery, and outcomes modeling and decision support. Resources for varying applications are provided in each chapter, and software code is embedded as appropriate for illustrative purposes. The book will be invaluable for students and residents in medical physics, radiology, and oncology and will also appeal to more experienced practitioners and researchers and members ofapplied machine learning communities.


 

“This is a must-read for anyone interested in the intersection of technology and healthcare. A roadmap, if you like, to a future where cancer can be conquered with the help of AI and human ingenuity.” (Dewinder Bhachu, RAD Magazine, June, 2024)

ISBN: 9783030830465

Dimensions: unknown

Weight: unknown

513 pages

2nd ed. 2022