Machine Learning in Radiation Oncology: Theory and Applications - Image 1

£68.07

Springer Machine Learning in Radiation Oncology: Theory and Applications

Name: Machine Learning in Radiation Oncology: Theory and Applications
Brand: Springer
Price: 68.07 GBP
Availability: InStock

Radiology

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Description

Product Description This book provides a complete overview of the role of machine learning in radiation oncology and medical physics, covering basic theory, methods, and a variety of applications in medical physics and radiotherapy. An introductory section explains machine learning, reviews supervised and unsupervised learning methods, discusses performance evaluation, and summarizes potential applications in radiation oncology. Detailed individual sections are then devoted to the use of machine learning in quality assurance; computer-aided detection, including treatment planning and contouring; image-guided radiotherapy; respiratory motion management; and treatment response modeling and outcome prediction. The book will be invaluable for students and residents in medical physics and radiation oncology and will also appeal to more experienced practitioners and researchers and members of applied machine learning communities. From the Back Cover This book provides a complete overview of the role of machine learning in radiation oncology and medical physics, covering basic theory, methods, and a variety of applications in medical physics and radiotherapy. An introductory section explains machine learning, reviews supervised and unsupervised learning methods, discusses performance evaluation, and summarizes potential applications in radiation oncology. Detailed individual sections are then devoted to the use of machine learning in quality assurance; computer-aided detection, including treatment planning and contouring; image-guided radiotherapy; respiratory motion management; and treatment response modeling and outcome prediction. The book will be invaluable for students and residents in medical physics and radiation oncology and will also appeal to more experienced practitioners and researchers and members of applied machine learning communities.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 3319354647
Category: Books > Subjects > Health, Family & Lifestyle > Medical & Healthcare Practitioners > Other Branches of Medicine > Medical Imaging > Radiology
Domain: Amazon UK
Release Date: 12 October 2016
Listed Since: 29 September 2016

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Springer Machine Learning in Radiation Oncology: Theory and Applications

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