Machine Learning And Artificial Intelligence In Radiation Oncology PDF Download

Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Machine Learning And Artificial Intelligence In Radiation Oncology PDF full book. Access full book title Machine Learning And Artificial Intelligence In Radiation Oncology.

Machine Learning and Artificial Intelligence in Radiation Oncology

Machine Learning and Artificial Intelligence in Radiation Oncology
Author: Barry S. Rosenstein
Publisher: Academic Press
Total Pages: 480
Release: 2023-12-02
Genre: Science
ISBN: 0128220015
GET BOOK

Download Machine Learning and Artificial Intelligence in Radiation Oncology Book in PDF, ePub and Kindle

Machine Learning and Artificial Intelligence in Radiation Oncology: A Guide for Clinicians is designed for the application of practical concepts in machine learning to clinical radiation oncology. It addresses the existing void in a resource to educate practicing clinicians about how machine learning can be used to improve clinical and patient-centered outcomes. This book is divided into three sections: the first addresses fundamental concepts of machine learning and radiation oncology, detailing techniques applied in genomics; the second section discusses translational opportunities, such as in radiogenomics and autosegmentation; and the final section encompasses current clinical applications in clinical decision making, how to integrate AI into workflow, use cases, and cross-collaborations with industry. The book is a valuable resource for oncologists, radiologists and several members of biomedical field who need to learn more about machine learning as a support for radiation oncology. Presents content written by practicing clinicians and research scientists, allowing a healthy mix of both new clinical ideas as well as perspectives on how to translate research findings into the clinic Provides perspectives from artificial intelligence (AI) industry researchers to discuss novel theoretical approaches and possibilities on academic collaborations Brings diverse points-of-view from an international group of experts to provide more balanced viewpoints on a complex topic

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
GET BOOK

Download Machine Learning in Radiation Oncology Book in PDF, ePub and Kindle

​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.

Machine Learning in Radiation Oncology

Machine Learning in Radiation Oncology
Author: Issam El Naqa
Publisher: Springer
Total Pages: 0
Release: 2016-10-12
Genre: Medical
ISBN: 9783319354644
GET BOOK

Download Machine Learning in Radiation Oncology Book in PDF, ePub and Kindle

​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.

Artificial Intelligence In Radiation Oncology

Artificial Intelligence In Radiation Oncology
Author: Seong K Mun
Publisher: World Scientific
Total Pages: 393
Release: 2022-12-27
Genre: Science
ISBN: 9811263558
GET BOOK

Download Artificial Intelligence In Radiation Oncology Book in PDF, ePub and Kindle

The clinical use of Artificial Intelligence (AI) in radiation oncology is in its infancy. However, it is certain that AI is capable of making radiation oncology more precise and personalized with improved outcomes. Radiation oncology deploys an array of state-of-the-art technologies for imaging, treatment, planning, simulation, targeting, and quality assurance while managing the massive amount of data involving therapists, dosimetrists, physicists, nurses, technologists, and managers. AI consists of many powerful tools which can process a huge amount of inter-related data to improve accuracy, productivity, and automation in complex operations such as radiation oncology.This book offers an array of AI scientific concepts, and AI technology tools with selected examples of current applications to serve as a one-stop AI resource for the radiation oncology community. The clinical adoption, beyond research, will require ethical considerations and a framework for an overall assessment of AI as a set of powerful tools.30 renowned experts contributed to sixteen chapters organized into six sections: Define the Future, Strategy, AI Tools, AI Applications, and Assessment and Outcomes. The future is defined from a clinical and a technical perspective and the strategy discusses lessons learned from radiology experience in AI and the role of open access data to enhance the performance of AI tools. The AI tools include radiomics, segmentation, knowledge representation, and natural language processing. The AI applications discuss knowledge-based treatment planning and automation, AI-based treatment planning, prediction of radiotherapy toxicity, radiomics in cancer prognostication and treatment response, and the use of AI for mitigation of error propagation. The sixth section elucidates two critical issues in the clinical adoption: ethical issues and the evaluation of AI as a transformative technology.

Artificial Intelligence in Radiation Oncology and Biomedical Physics

Artificial Intelligence in Radiation Oncology and Biomedical Physics
Author: Gilmer Valdes
Publisher: CRC Press
Total Pages: 201
Release: 2023-08-14
Genre: Computers
ISBN: 1000903818
GET BOOK

Download Artificial Intelligence in Radiation Oncology and Biomedical Physics Book in PDF, ePub and Kindle

This pioneering book explores how machine learning and other AI techniques impact millions of cancer patients who benefit from ionizing radiation. It features contributions from global researchers and clinicians, focusing on the clinical applications of machine learning for medical physics. AI and machine learning have attracted much recent attention and are being increasingly adopted in medicine, with many clinical components and commercial software including aspects of machine learning integration. General principles and important techniques in machine learning are introduced, followed by discussion of clinical applications, particularly in radiomics, outcome prediction, registration and segmentation, treatment planning, quality assurance, image processing, and clinical decision-making. Finally, a futuristic look at the role of AI in radiation oncology is provided. This book brings medical physicists and radiation oncologists up to date with the most novel applications of machine learning to medical physics. Practitioners will appreciate the insightful discussions and detailed descriptions in each chapter. Its emphasis on clinical applications reaches a wide audience within the medical physics profession.

Machine and Deep Learning in Oncology, Medical Physics and Radiology

Machine and Deep Learning in Oncology, Medical Physics and Radiology
Author: Issam El Naqa
Publisher: Springer Nature
Total Pages: 514
Release: 2022-02-02
Genre: Science
ISBN: 3030830470
GET BOOK

Download Machine and Deep Learning in Oncology, Medical Physics and Radiology Book in PDF, ePub and Kindle

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 of applied machine learning communities.

Artificial Intelligence in Medical Imaging

Artificial Intelligence in Medical Imaging
Author: Erik R. Ranschaert
Publisher: Springer
Total Pages: 373
Release: 2019-01-29
Genre: Medical
ISBN: 3319948784
GET BOOK

Download Artificial Intelligence in Medical Imaging Book in PDF, ePub and Kindle

This book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging. After an introduction on game changers in radiology, such as deep learning technology, the technological evolution of AI in computing science and medical image computing is described, with explanation of basic principles and the types and subtypes of AI. Subsequent sections address the use of imaging biomarkers, the development and validation of AI applications, and various aspects and issues relating to the growing role of big data in radiology. Diverse real-life clinical applications of AI are then outlined for different body parts, demonstrating their ability to add value to daily radiology practices. The concluding section focuses on the impact of AI on radiology and the implications for radiologists, for example with respect to training. Written by radiologists and IT professionals, the book will be of high value for radiologists, medical/clinical physicists, IT specialists, and imaging informatics professionals.

Adaptive Radiation Therapy

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

Download Adaptive Radiation Therapy Book in PDF, ePub and Kindle

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