Machine Learning in Radiation Oncology

Machine Learning in Radiation Oncology
Author: Issam El Naqa
Publisher: Springer
Total Pages: 336
Release: 2015-06-19
Genre: Medical
ISBN: 3319183052

​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.

The Modern Technology of Radiation Oncology

The Modern Technology of Radiation Oncology
Author: Jake Van Dyk
Publisher: Medical Physics Publishing Corporation
Total Pages: 1106
Release: 1999
Genre: Medical
ISBN:

Details technology associated with radiation oncology, emphasizing design of all equipment allied with radiation treatment. Describes procedures required to implement equipment in clinical service, covering needs assessment, purchase, acceptance, and commissioning, and explains quality assurance issues. Also addresses less common and evolving technologies. For medical physicists and radiation oncologists, as well as radiation therapists, dosimetrists, and engineering technologists. Includes bandw medical images and photos of equipment. Paper edition (unseen), $145.95. Annotation copyrighted by Book News, Inc., Portland, OR

Big Data in Radiation Oncology

Big Data in Radiation Oncology
Author: Jun Deng
Publisher: CRC Press
Total Pages: 311
Release: 2019-03-07
Genre: Science
ISBN: 1351801120

Big Data in Radiation Oncology gives readers an in-depth look into how big data is having an impact on the clinical care of cancer patients. While basic principles and key analytical and processing techniques are introduced in the early chapters, the rest of the book turns to clinical applications, in particular for cancer registries, informatics, radiomics, radiogenomics, patient safety and quality of care, patient-reported outcomes, comparative effectiveness, treatment planning, and clinical decision-making. More features of the book are: Offers the first focused treatment of the role of big data in the clinic and its impact on radiation therapy. Covers applications in cancer registry, radiomics, patient safety, quality of care, treatment planning, decision making, and other key areas. Discusses the fundamental principles and techniques for processing and analysis of big data. Address the use of big data in cancer prevention, detection, prognosis, and management. Provides practical guidance on implementation for clinicians and other stakeholders. Dr. Jun Deng is a professor at the Department of Therapeutic Radiology of Yale University School of Medicine and an ABR board certified medical physicist at Yale-New Haven Hospital. He has received numerous honors and awards such as Fellow of Institute of Physics in 2004, AAPM Medical Physics Travel Grant in 2008, ASTRO IGRT Symposium Travel Grant in 2009, AAPM-IPEM Medical Physics Travel Grant in 2011, and Fellow of AAPM in 2013. Lei Xing, Ph.D., is the Jacob Haimson Professor of Medical Physics and Director of Medical Physics Division of Radiation Oncology Department at Stanford University. His research has been focused on inverse treatment planning, tomographic image reconstruction, CT, optical and PET imaging instrumentations, image guided interventions, nanomedicine, and applications of molecular imaging in radiation oncology. Dr. Xing is on the editorial boards of a number of journals in radiation physics and medical imaging, and is recipient of numerous awards, including the American Cancer Society Research Scholar Award, The Whitaker Foundation Grant Award, and a Max Planck Institute Fellowship.

Innovations in Radiation Oncology

Innovations in Radiation Oncology
Author: H. Rodney Withers
Publisher: Springer Science & Business Media
Total Pages: 322
Release: 2012-12-06
Genre: Medical
ISBN: 364283101X

The series "Medical Radiology - Diagnostic Imaging and Radiation Oncology" is the successor to the well known "Encyclopedia of Medical RadiologyjHandbuch der medizinischen Radiologie". This international handbook with its unique compila tion of data in more than fifty volumes lags behind the fast developing knowledge in radiology today. "Medical Radiology" brings the state of the art on special topics in a timely fashion. The first volume of the series was "Lung cancer", edited by Scarantino. This volume "Innovation in Radiation Oncology", edited by H.R. Withers and L.J. Peters, presents data on the development of new therapeutic strategies in different oncologic diseases. 57 authors wrote 32 chapters covering a broad range of topics. The innovations are at various levels of development, but were all chosen with the practicing radiation oncologist in mind. Perhaps not all of the innovations will survive the test of time, others have now become well established standard procedure in some centers. Also discussed is the assessment of the effectiveness of standard treat ment and how it effects the quality of a patient's survival. The contributions have been grouped into 9 broad sections as outlined in the table of contents. We think the second volume, as the whole series, will provide valuable reading for the general community of radiation oncologists.

Adaptive Radiation Therapy

Adaptive Radiation Therapy
Author: X. Allen Li
Publisher: CRC Press
Total Pages: 404
Release: 2011-01-27
Genre: Medical
ISBN: 1439816352

Modern medical imaging and radiation therapy technologies are so complex and computer driven that it is difficult for physicians and technologists to know exactly what is happening at the point-of-care. Medical physicists responsible for filling this gap in knowledge must stay abreast of the latest advances at the intersection of medical imaging an

Radiation Oncology Physics

Radiation Oncology Physics
Author: International Atomic Energy Agency
Publisher: IAEA
Total Pages: 704
Release: 2005
Genre: Business & Economics
ISBN:

This publication is aimed at students and teachers involved in teaching programmes in field of medical radiation physics, and it covers the basic medical physics knowledge required in the form of a syllabus for modern radiation oncology. The information will be useful to those preparing for professional certification exams in radiation oncology, medical physics, dosimetry or radiotherapy technology.

Advanced and Emerging Technologies in Radiation Oncology Physics

Advanced and Emerging Technologies in Radiation Oncology Physics
Author: Siyong Kim
Publisher: CRC Press
Total Pages: 365
Release: 2018-05-24
Genre: Medical
ISBN: 0429019440

This new book educates readers about new technologies before they appear in hospitals, enabling medical physicists and clinicians to prepare for new technologies thoroughly and proactively, and provide better patient care once new equipment becomes available. Emerging technologies in imaging, treatment planning, treatment delivery, dosimetry and informatics are all discussed. The book is divided into three parts: recently developed technologies available for practice; technologies under development nearing completion; and technologies in an early stage of development that could have potential radiotherapy applications. Features: Introduces emerging technologies in imaging, treatment planning, treatment delivery, dosimetry and informatics The advantages and limitations of each technology in clinical settings are discussed, and recommendations on how to adopt the technologies are provided Critiques and improvement points are provided for researchers, in addition to suggestions on how to prepare quality assurance are provided as needed