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Machine and Deep Learning in Oncology, Medical Physics and Radiology

2022-02-02 Science
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Release : 2022-02-02
Genre : Science
Kind : eBook
Book Rating : 470/5 ( reviews)

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Book Synopsis Machine and Deep Learning in Oncology, Medical Physics and Radiology by : Issam El Naqa

Download or read book Machine and Deep Learning in Oncology, Medical Physics and Radiology written by Issam El Naqa. This book was released on 2022-02-02. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Machine Learning in Radiation Oncology

2015-06-19 Medical
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Release : 2015-06-19
Genre : Medical
Kind : eBook
Book Rating : 052/5 ( reviews)

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Book Synopsis Machine Learning in Radiation Oncology by : Issam El Naqa

Download or read book Machine Learning in Radiation Oncology written by Issam El Naqa. This book was released on 2015-06-19. Available in PDF, EPUB and Kindle. Book excerpt: ​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 and Biomedical Physics

2023-08-14 Computers
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Release : 2023-08-14
Genre : Computers
Kind : eBook
Book Rating : 818/5 ( reviews)

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Book Synopsis Artificial Intelligence in Radiation Oncology and Biomedical Physics by : Gilmer Valdes

Download or read book Artificial Intelligence in Radiation Oncology and Biomedical Physics written by Gilmer Valdes. This book was released on 2023-08-14. Available in PDF, EPUB and Kindle. Book excerpt: 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 Learning With Radiation Oncology Big Data

2019-01-21
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Release : 2019-01-21
Genre :
Kind : eBook
Book Rating : 303/5 ( reviews)

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Book Synopsis Machine Learning With Radiation Oncology Big Data by : Jun Deng

Download or read book Machine Learning With Radiation Oncology Big Data written by Jun Deng. This book was released on 2019-01-21. Available in PDF, EPUB and Kindle. Book excerpt:

Machine Learning and Artificial Intelligence in Radiation Oncology

2023-12-02 Science
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Release : 2023-12-02
Genre : Science
Kind : eBook
Book Rating : 015/5 ( reviews)

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Book Synopsis Machine Learning and Artificial Intelligence in Radiation Oncology by : Barry S. Rosenstein

Download or read book Machine Learning and Artificial Intelligence in Radiation Oncology written by Barry S. Rosenstein. This book was released on 2023-12-02. Available in PDF, EPUB and Kindle. Book excerpt: 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

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