Machine And Deep Learning In Oncology Medical Physics And Radiology
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Machine And Deep Learning In Oncology Medical Physics And Radiology
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Author : Issam El Naqa
language : en
Publisher: Springer Nature
Release Date : 2022-02-02
Machine And Deep Learning In Oncology Medical Physics And Radiology written by Issam El Naqa and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-02 with Science categories.
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
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Author : Issam El Naqa
language : en
Publisher: Springer
Release Date : 2015-06-19
Machine Learning In Radiation Oncology written by Issam El Naqa and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-06-19 with Medical categories.
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
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Author : Gilmer Valdes
language : en
Publisher: CRC Press
Release Date : 2023-08-14
Artificial Intelligence In Radiation Oncology And Biomedical Physics written by Gilmer Valdes and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-14 with Computers categories.
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.
Fundamentals Of Radiation Oncology
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Author : Hasan Murshed
language : en
Publisher: Elsevier
Release Date : 2024-06-20
Fundamentals Of Radiation Oncology written by Hasan Murshed and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-20 with Medical categories.
Fundamentals of Radiation Oncology: Physical, Biological, and Clinical Aspects, Fourth Edition, is written by a team of renowned experts. This book is a must-have resource for anyone practicing radiation oncology. From basic principles to more-advanced planning and delivery of radiation therapy to treat cancer, this book is a go-to resource for mastering the art and science of radiation oncology. - Recent advances in SRS, SBRT, proton therapy, an immunotherapy - New chapters on adaptive radiotherapy, and artificial intelligence in radiation therapy - IMRT and IGRT techniques are covered in depth in all clinical chapters - Latest landmark studies provide evidence-based rationale for recommended treatments - Radiation treatment toxicity and its management
Proton Therapy Physics
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Author : Harald Paganetti, Ph.D.
language : en
Publisher: CRC Press
Release Date : 2025-03-20
Proton Therapy Physics written by Harald Paganetti, Ph.D. and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-20 with Science categories.
Expanding on the highly successful previous two editions, this third edition of Proton Therapy Physics has been updated throughout and includes several new chapters on “Adaptive Proton Therapy,” "Imaging for Planning,” “Flash Proton Therapy,” and “Outcome Modeling for Patient Selection.” Suitable for both newcomers in medical physics and more seasoned specialists in radiation oncology, this book provides an in‐depth overview of the physics of this radiation therapy modality, eliminating the need to dig through information scattered across medical physics literature. After tracing the history of proton therapy, this book explores the atomic and nuclear physics background necessary for understanding proton interactions with tissue. The text then covers dosimetry, including beam delivery, shielding aspects, computer simulations, detector systems, and measuring techniques for reference dosimetry. Important for daily operations, acceptance testing, commissioning, quality assurance, and monitor unit calibrations are outlined. This book moves on to discussions of imaging for planning and image guidance as well as treatment monitoring. Aspects of treatment planning for single‐ and multiple‐field uniform doses, dose calculation concepts and algorithms, and precision and uncertainties for nonmoving and moving targets are outlined. Finally, the biological implications of using protons from a physics perspective as well as outcome modeling are discussed. This book is an ideal practical guide for physicians, dosimetrists, radiation therapists, and physicists who already have some experience in radiation oncology. It is also an invaluable reference for graduate students in medical physics programs, physicians in their last year of medical school or residency, and those considering a career in medical physics. Key Features: • Updated with the latest technologies and methods in the field, covering all delivery methods of proton therapy, including beam scanning and passive scattering. • Discusses clinical aspects, such as treatment planning and quality assurance. • Offers insight into the past, present, and future of proton therapy from a physics perspective. Dr. Harald Paganetti is a distinguished figure in the field of radiation oncology, serving as Professor of Radiation Oncology at Harvard Medical School and Director of Physics Research at Massachusetts General Hospital. He earned his PhD in experimental nuclear physics from the Rheinische‐Friedrich‐Wilhelms University in Bonn, Germany, in 1992.
A Companion To Applied Philosophy Of Ai
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Author : Martin Hähnel
language : en
Publisher: John Wiley & Sons
Release Date : 2025-06-24
A Companion To Applied Philosophy Of Ai written by Martin Hähnel and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-24 with Philosophy categories.
A comprehensive guide to AI's ethical, epistemological, and legal impacts through applied philosophy Inartificial intelligence (AI) influences nearly every aspect of society. A Companion to Applied Philosophy of AI provides a critical philosophical framework for understanding and addressing its complexities. Edited by Martin Hähnel and Regina Müller, this volume explores AI's practical implications in epistemology, ethics, politics, and law. Moving beyond a narrow ethical perspective, the authors advocate for a multi-faceted approach that synthesizes diverse disciplines and perspectives, offering readers a nuanced and integrative understanding of AI's transformative role. The Companion explores a broad range of topics, from issues of transparency and expertise in AI-driven systems to discussions of ethical theories and their relevance to AI, such as consequentialism, deontology, and virtue ethics. Filling a significant gap in the current academic literature, this groundbreaking volume also addresses AI's broader social, political, and legal dimensions, equipping readers with practical frameworks to navigate this rapidly evolving field. Offering fresh and invaluable insights into the interplay between philosophical thought and technological innovation, A Companion to Applied Philosophy of AI: Features contributions from leading philosophers and interdisciplinary experts Offers a unique applied philosophy perspective on artificial intelligence Covers diverse topics including ethics, epistemology, politics, and law Encourages interdisciplinary dialogue to better understand AI's profound implications for humanity A Companion to Applied Philosophy of AI is ideal for undergraduate and graduate courses in applied philosophy, AI ethics, political theory, and legal philosophy. It is also a vital reference for those working in areas including AI policy, governance, and interdisciplinary research.
Communication And Intelligent Systems
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Author : Harish Sharma
language : en
Publisher: Springer Nature
Release Date : 2024-05-10
Communication And Intelligent Systems written by Harish Sharma and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-10 with Computers categories.
This book gathers selected research papers presented at the Fifth International Conference on Communication and Intelligent Systems (ICCIS 2023), organized by Malaviya National Institute of Technology Jaipur, India, during December 16–17, 2023. This book presents a collection of state-of-the-art research work involving cutting-edge technologies for communication and intelligent systems. Over the past few years, advances in artificial intelligence and machine learning have sparked new research efforts around the globe, which explore novel ways of developing intelligent systems and smart communication technologies. The book presents single- and multi-disciplinary research on these themes to make the latest results available in a single, readily accessible source. The work is presented in three volumes.
Emerging Trends In Expert Applications And Security
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Author : Vijay Singh Rathore
language : en
Publisher: Springer Nature
Release Date : 2023-06-29
Emerging Trends In Expert Applications And Security written by Vijay Singh Rathore and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-29 with Technology & Engineering categories.
The book covers current developments in the field of computer system security using cryptographic algorithms and other security schemes for system as well as cloud. The proceedings compile the selected research papers presented at ICE-TEAS 2023 Conference held at Jaipur Engineering College and Research Centre, Jaipur, India, during February 17–19, 2023. The book focuses on expert applications and artificial intelligence; information and application security; advanced computing; multimedia applications in forensics, security, and intelligence; and advances in web technologies: implementation and security issues.
Artificial Intelligence And Project Management
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Author : Tadeusz A. Grzeszczyk
language : en
Publisher: Taylor & Francis
Release Date : 2024-05-01
Artificial Intelligence And Project Management written by Tadeusz A. Grzeszczyk and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-01 with Business & Economics categories.
Although some people had doubts about the usefulness of such solutions in the past, artificial intelligence (AI) plays a growing role in modern business. It can be expected that the interest in it will also lead to an increase in support for the planning, evaluation, and implementation of projects. In particular, the proper functioning of multifaceted evaluation methods has a crucial impact on the appropriate planning and execution of various projects, as well as the effective achievement of the organization’s goals. This book offers a presentation of the complex problems and challenges related to the development of AI in project management, proposes an integrated approach to knowledge-based evaluation, and indicates the possibilities of improving professional practical knowledge in this field. The unique contribution of this book is to draw attention to the possibilities resulting from conducting transdisciplinary research and drawing on the rich achievements in the field of research development on knowledge-based systems that can be used to holistically support the processes of planning, evaluation, and project management. The concept of the integrated approach to knowledge-based evaluation is presented and developed as a result of drawing inspiration mainly from the systems approach, generative AI, and selected mathematical models. Presented in a highly accessible manner, the book discusses mathematical tools in a simple way, which enables understanding of the content by readers across broad subject areas who may be not only participants in specialist training and university students but also practitioners, consultants, or evaluators. This book will be a valuable resource for academics and upper-level students, in particular, across project management-related fields, and of great interest to all those looking to understand the challenges and effectiveness of AI in business.
Revolutionizing Drug Discovery Cutting Edge Computational Techniques
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Author :
language : en
Publisher: Academic Press
Release Date : 2025-04-03
Revolutionizing Drug Discovery Cutting Edge Computational Techniques written by and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-03 with Medical categories.
Revolutionizing Drug Discovery: Cutting-Edge Computational Techniques, Volume 103 is an essential guide for professionals, researchers, and students in the pharmaceutical and biotech industries, providing an in-depth look at how computational methods transform drug development. Chapters in this new release include Innovative Computational Approaches in Drug Discovery and Design, Advanced Molecular Modeling of Proteins: Methods, Breakthroughs, and Future Prospects, Predictive Cavity and Binding Site Identification: Techniques and Applications, ADMET Tools in the Digital Era: Applications and Limitations, Essential Database Resources for Modern Drug Discovery, Deep Learning for Drug Design and Development, and much more.Other sections cover Molecular Docking and Structure-Based Drug Design: From Theory to Practice, Molecular Dynamics Simulations: Insights into Protein and Protein-Ligand Interactions, Targeting Disease: Computational Approaches for Drug Target Identification, High-throughput computational Screening for Lead Discovery and Development, Harnessing Machine Learning for Rational Drug Design, Identifying Novel Drug Targets with Computational Precision, Computational Exploration of Viral Cell Membrane Structures for Identifying Novel Therapeutic Target, and many more interesting topics. - Offers expert insights from leading authorities on computational techniques in drug discovery, ensuring readers gain accurate, cutting-edge knowledge - Includes illustrative graphics and case studies to enhance comprehension and engagement for readers across disciplines - Provides forward-looking perspectives on the role of computational methods in drug development, highlighting both current advancements and future trends