Overview
- Provides a comprehensive overview of computational intelligence research and technologies in computer-assisted radiation therapy
- Enriches understanding of technical advancements and research findings in image-based computer-assisted radiation therapy
- Maximizes reader insights into the modern medical technologies and systems for image-based computer-assisted radiation therapy
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Table of contents (14 chapters)
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Front Matter
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Computerized Diagnosis for Cancer
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Front Matter
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Computer-Assisted Radiation Treatment Planning
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Front Matter
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Image-Guided Patient Positioning
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Front Matter
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Intelligent Radiation Treatment Approaches
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Front Matter
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Computerized Prediction of Treatment Outcomes
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Front Matter
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Keywords
About this book
This book provides a comprehensive overview of the state-of-the-art computational intelligence research and technologies in computer-assisted radiation therapy based on image engineering. It also traces major technical advancements and research findings in the field of image-based computer-assisted radiation therapy.
In high-precision radiation therapies, novel approaches in image engineering including computer graphics, image processing, pattern recognition, and computational anatomy play important roles in improving the accuracy of radiation therapy and assisting decision making by radiation oncology professionals, such as radiation oncologists, radiation technologists, and medical physicists, in each phase of radiation therapy.
All the topics presented in this book broaden understanding of the modern medical technologies and systems for image-based computer-assisted radiation therapy. Therefore this volume will greatly benefit not only radiation oncologists and radiologists but also radiation technologists, professors in medical physics or engineering, and engineers involved in the development of products to utilize this advanced therapy.
Editors and Affiliations
About the editor
Dr. Hidetaka Arimura, PhD, Professor
Division of Medical Quantum Science, Department of Health Sciences
Faculty of Medical Sciences, Kyushu University
Bibliographic Information
Book Title: Image-Based Computer-Assisted Radiation Therapy
Editors: Hidetaka Arimura
DOI: https://doi.org/10.1007/978-981-10-2945-5
Publisher: Springer Singapore
eBook Packages: Medicine, Medicine (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2017
Hardcover ISBN: 978-981-10-2943-1Published: 13 February 2017
Softcover ISBN: 978-981-10-9746-1Published: 04 May 2018
eBook ISBN: 978-981-10-2945-5Published: 26 January 2017
Edition Number: 1
Number of Pages: X, 381
Number of Illustrations: 67 b/w illustrations, 118 illustrations in colour
Topics: Radiotherapy, Interventional Radiology, Oncology