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Author : Xiaoli Lan
Publisher : Frontiers Media SA
ISBN 13 : 2889745538
Total Pages : 119 pages
Book Rating : 4.8/5 (897 download)
Download or read book Artificial Intelligence in Positron Emission Tomography written by Xiaoli Lan and published by Frontiers Media SA. This book was released on 2022-03-02 with total page 119 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Babak Saboury
Publisher : Elsevier Health Sciences
ISBN 13 : 0323835619
Total Pages : 225 pages
Book Rating : 4.3/5 (238 download)
Download or read book Artificial Intelligence and PET Imaging, Part 1, An Issue of PET Clinics written by Babak Saboury and published by Elsevier Health Sciences. This book was released on 2021-09-21 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence and PET Imaging, Part 1, An Issue of PET Clinics, E-Book
Author : John A. Andreou
Publisher : Springer Nature
ISBN 13 : 3031100905
Total Pages : 156 pages
Book Rating : 4.0/5 (311 download)
Download or read book Artificial Intelligence in PET/CT Oncologic Imaging written by John A. Andreou and published by Springer Nature. This book was released on 2022-10-22 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents artificial intelligence applications that may help in detecting disease, defining tissue characterization (benign vs malignant), staging and correlation with molecular biomarkers. Originally positioned as a means for noninvasive molecular phenotyping and quantification in the 1970s, PET's technological improvements in the 2000s generated renewed interest in quantification, which has grown over the last five years. This progress is parallel with the development of Artificial intelligence (AI) systems for Oncology which aim at providing the best possible treatment to patients suffering from lung, breast, brain, prostate, liver and other types of cancer. The chapters provide an overview of the use of AI in PET/CT imaging for various types of cancer, and it will be an invaluable tool especially for nuclear medicine physicians and oncologists.
Author : Arman Rahmim
Publisher : Elsevier Health Sciences
ISBN 13 : 0323850146
Total Pages : 241 pages
Book Rating : 4.3/5 (238 download)
Download or read book Artificial Intelligence and PET Imaging, Part 2, An Issue of PET Clinics , E-Book written by Arman Rahmim and published by Elsevier Health Sciences. This book was released on 2021-11-27 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this issue of PET Clinics, guest editors Arman Rahmim, Babak Saboury, and Eliot Siegel bring their considerable expertise to the topic of Artificial Intelligence and PET Imaging. Provides in-depth, clinical reviews on the latest updates in AI and PET Imaging, providing actionable insights for clinical practice. Presents the latest information on this timely, focused topic under the leadership of experienced editors in the field; Authors synthesize and distill the latest research and practice guidelines to create these timely topic-based reviews.
Author : Giorgio Treglia
Publisher : Frontiers Media SA
ISBN 13 : 2832526349
Total Pages : 133 pages
Book Rating : 4.8/5 (325 download)
Download or read book Radiomics and artificial intelligence in radiology and nuclear medicine written by Giorgio Treglia and published by Frontiers Media SA. This book was released on 2023-06-14 with total page 133 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Patrick Veit-Haibach
Publisher : Springer Nature
ISBN 13 : 3031001192
Total Pages : 217 pages
Book Rating : 4.0/5 (31 download)
Download or read book Artificial Intelligence/Machine Learning in Nuclear Medicine and Hybrid Imaging written by Patrick Veit-Haibach and published by Springer Nature. This book was released on 2022-06-22 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes detailed explanations of the underlying technologies and concepts used in Artificial Intelligence (AI) and Machine Learning (ML) in the context of nuclear medicine and hybrid imaging. A diverse team of authors, including pioneers in the field and respected experts from leading international institutions, share their insights, opinions and outlooks on this exciting topic. A wide range of clinical applications are discussed, from brain applications to body indications, as well as the applicability of AI and ML for cardio-vascular conditions. The book also considers the potential impact of theranostics. To balance the technology-heavy and disease-specific applications, it also discusses ethical / legal issues, economic realities and the human factor, the physician. Though this discussion is not based on research and outcomes, it provides important insights into the ramifications of how AI and ML could transform Nuclear Medicine and Hybrid Imaging practice. As the first work highlighting the role of these concepts specifically in this field, rather than for medical imaging in general, this book offers a valuable resource for Nuclear Medicine Physicians, Radiologists, Physicists, Medical Imaging Administrators and Nuclear Medicine Technologists alike.
Author : Dale L. Bailey
Publisher : Springer Science & Business Media
ISBN 13 : 1846280079
Total Pages : 381 pages
Book Rating : 4.8/5 (462 download)
Download or read book Positron Emission Tomography written by Dale L. Bailey and published by Springer Science & Business Media. This book was released on 2006-07-06 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: Essential for students, science and medical graduates who want to understand the basic science of Positron Emission Tomography (PET), this book describes the physics, chemistry, technology and overview of the clinical uses behind the science of PET and the imaging techniques it uses. In recent years, PET has moved from high-end research imaging tool used by the highly specialized to an essential component of clinical evaluation in the clinic, especially in cancer management. Previously being the realm of scientists, this book explains PET instrumentation, radiochemistry, PET data acquisition and image formation, integration of structural and functional images, radiation dosimetry and protection, and applications in dedicated areas such as drug development, oncology, and gene expression imaging. The technologist, the science, engineering or chemistry graduate seeking further detailed information about PET, or the medical advanced trainee wishing to gain insight into the basic science of PET will find this book invaluable. This book is primarily repackaged content from the Basic Science section of the 'big' Valk book on PET. It contains new, completely revised and unchanged chapters covering the "basic sciences" section of the main book - total 18 chapters: 2 new (chapters 1, 16) 8 completely revised (chapters 4, 5, 8, 13, 14, 15, 17, 18) 3 minor corrections (chapters 2, 6, 11) 5 unchanged (chapters 3, 7, 9, 10, 12)
Author : Erik R. Ranschaert
Publisher : Springer
ISBN 13 : 3319948784
Total Pages : 373 pages
Book Rating : 4.3/5 (199 download)
Download or read book Artificial Intelligence in Medical Imaging written by Erik R. Ranschaert and published by Springer. This book was released on 2019-01-29 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Farah Deeba
Publisher : Springer Nature
ISBN 13 : 3030615987
Total Pages : 170 pages
Book Rating : 4.0/5 (36 download)
Download or read book Machine Learning for Medical Image Reconstruction written by Farah Deeba and published by Springer Nature. This book was released on 2020-10-21 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020. The workshop was held virtually. The 15 papers presented were carefully reviewed and selected from 18 submissions. The papers are organized in the following topical sections: deep learning for magnetic resonance imaging and deep learning for general image reconstruction.
Author : Kenji Suzuki
Publisher : Springer
ISBN 13 : 331968843X
Total Pages : 387 pages
Book Rating : 4.3/5 (196 download)
Download or read book Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging written by Kenji Suzuki and published by Springer. This book was released on 2018-01-09 with total page 387 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers the first comprehensive overview of artificial intelligence (AI) technologies in decision support systems for diagnosis based on medical images, presenting cutting-edge insights from thirteen leading research groups around the world. Medical imaging offers essential information on patients’ medical condition, and clues to causes of their symptoms and diseases. Modern imaging modalities, however, also produce a large number of images that physicians have to accurately interpret. This can lead to an “information overload” for physicians, and can complicate their decision-making. As such, intelligent decision support systems have become a vital element in medical-image-based diagnosis and treatment. Presenting extensive information on this growing field of AI, the book offers a valuable reference guide for professors, students, researchers and professionals who want to learn about the most recent developments and advances in the field.
Author : Sourav De
Publisher : John Wiley & Sons
ISBN 13 : 1119743176
Total Pages : 228 pages
Book Rating : 4.1/5 (197 download)
Download or read book Applied Smart Health Care Informatics written by Sourav De and published by John Wiley & Sons. This book was released on 2022-03-07 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied Smart Health Care Informatics Explores how intelligent systems offer new opportunities for optimizing the acquisition, storage, retrieval, and use of information in healthcare Applied Smart Health Care Informatics explores how health information technology and intelligent systems can be integrated and deployed to enhance healthcare management. Edited and authored by leading experts in the field, this timely volume introduces modern approaches for managing existing data in the healthcare sector by utilizing artificial intelligence (AI), meta-heuristic algorithms, deep learning, the Internet of Things (IoT), and other smart technologies. Detailed chapters review advances in areas including machine learning, computer vision, and soft computing techniques, and discuss various applications of healthcare management systems such as medical imaging, electronic medical records (EMR), and drug development assistance. Throughout the text, the authors propose new research directions and highlight the smart technologies that are central to establishing proactive health management, supporting enhanced coordination of care, and improving the overall quality of healthcare services. Provides an overview of different deep learning applications for intelligent healthcare informatics management Describes novel methodologies and emerging trends in artificial intelligence and computational intelligence and their relevance to health information engineering and management Proposes IoT solutions that disseminate essential medical information for intelligent healthcare management Discusses mobile-based healthcare management, content-based image retrieval, and computer-aided diagnosis using machine and deep learning techniques Examines the use of exploratory data analysis in intelligent healthcare informatics systems Applied Smart Health Care Informatics: A Computational Intelligence Perspective is an invaluable text for graduate students, postdoctoral researchers, academic lecturers, and industry professionals working in the area of healthcare and intelligent soft computing.
Author : Dani Wade
Publisher :
ISBN 13 :
Total Pages : 52 pages
Book Rating : 4.7/5 (355 download)
Download or read book Artificial Intelligence: Deep Learning in Oncological Radiomics and Challenges of Interpretability and Data Harmonization written by Dani Wade and published by . This book was released on 2021-04-09 with total page 52 pages. Available in PDF, EPUB and Kindle. Book excerpt: AI in oncologyHealthcare is expected to be highly impacted by machine learning (ML)-based artificial intelligence (AI). As deep learning (DL) relying on neural networks trained with large datasets has demonstrated state-of- the-art performances in numerous applications, massive structural changes in information and data processing in this sector are expected. Oncology is especially targeted by these developments, cancer being a major worldwide issue (18.1 million cases and 9.6 million deaths in 2018, respectively 22 and 13 million projected for 2030) [1]. Regarding predictive modeling based on multimodal medical imaging such as CT (computed tomography), PET/CT (positron emission tomography / CT) or MRI (magnetic resonance imaging), both academic and private research rely on ML/DL methods, however their clinical implementation and acceptability are currently lacking.
Author : Priyanka Sharma
Publisher : Academic Guru Publishing House
ISBN 13 : 8197261555
Total Pages : 215 pages
Book Rating : 4.1/5 (972 download)
Download or read book Medical Image Processing Using AI written by Priyanka Sharma and published by Academic Guru Publishing House. This book was released on 2024-04-19 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Medical Image Processing Using AI" provides a thorough review of the current breakthroughs, methodologies, and applications in medical imaging with artificial intelligence (AI). This book by leading medical imaging and AI researchers delves into the junction of these two fields, giving readers the insights and practical expertise to navigate AI-driven medical image analysis. The book covers medical imaging and AI's fundamental principles and methods, including image acquisition, preprocessing, feature extraction, and machine learning algorithms for medical image processing. Readers master the key principles and strategies needed to use AI in medical imaging via simple explanations and examples. As readers progress through the chapters, they are introduced to a diverse array of clinical applications and use cases where AI has made significant inroads, revolutionizing diagnostic workflows, treatment planning, and patient care across various medical specialties. Real-world case studies and examples illustrate how AI algorithms are being deployed in radiology, pathology, oncology, cardiology, and other fields to enhance diagnostic accuracy, improve treatment outcomes, and optimize clinical decision-making. Moreover, the book explores the ethical considerations, challenges, and future directions shaping the landscape of AI-driven medical image processing. From data privacy and algorithmic bias to regulatory frameworks and clinical integration, readers gain insight into the broader implications of AI in healthcare and the importance of responsible and equitable deployment of AI technologies.
Author : Miles N. Wernick
Publisher : Elsevier
ISBN 13 : 0080521878
Total Pages : 597 pages
Book Rating : 4.0/5 (85 download)
Download or read book Emission Tomography written by Miles N. Wernick and published by Elsevier. This book was released on 2004-12-07 with total page 597 pages. Available in PDF, EPUB and Kindle. Book excerpt: PET and SPECT are two of today’s most important medical-imaging methods, providing images that reveal subtle information about physiological processes in humans and animals. Emission Tomography: The Fundamentals of PET and SPECT explains the physics and engineering principles of these important functional-imaging methods. The technology of emission tomography is covered in detail, including historical origins, scientific and mathematical foundations, imaging systems and their components, image reconstruction and analysis, simulation techniques, and clinical and laboratory applications. The book describes the state of the art of emission tomography, including all facets of conventional SPECT and PET, as well as contemporary topics such as iterative image reconstruction, small-animal imaging, and PET/CT systems. This book is intended as a textbook and reference resource for graduate students, researchers, medical physicists, biomedical engineers, and professional engineers and physicists in the medical-imaging industry. Thorough tutorials of fundamental and advanced topics are presented by dozens of the leading researchers in PET and SPECT. SPECT has long been a mainstay of clinical imaging, and PET is now one of the world’s fastest growing medical imaging techniques, owing to its dramatic contributions to cancer imaging and other applications. Emission Tomography: The Fundamentals of PET and SPECT is an essential resource for understanding the technology of SPECT and PET, the most widely used forms of molecular imaging. *Contains thorough tutorial treatments, coupled with coverage of advanced topics *Three of the four holders of the prestigious Institute of Electrical and Electronics Engineers Medical Imaging Scientist Award are chapter contributors *Include color artwork
Author : Stefan Dresel
Publisher : Springer Science & Business Media
ISBN 13 : 354031203X
Total Pages : 255 pages
Book Rating : 4.5/5 (43 download)
Download or read book PET in Oncology written by Stefan Dresel and published by Springer Science & Business Media. This book was released on 2009-04-20 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: At last, here is a comprehensive compilation of the accumulated knowledge on PET and PET/CT in oncology. It covers the entire spectrum from solidly documented indications, such as staging and monitoring of lung and colorectal cancer, to the application of PET/CT in head and neck surgery, gynecology, radiation therapy, urology, pediatrics and others. The chapters are supplemented by an introduction into the underlying techniques of both imaging devices and radiopharmacy.
Author : Gobert Lee
Publisher : Springer Nature
ISBN 13 : 3030331288
Total Pages : 184 pages
Book Rating : 4.0/5 (33 download)
Download or read book Deep Learning in Medical Image Analysis written by Gobert Lee and published by Springer Nature. This book was released on 2020-02-06 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents cutting-edge research and applications of deep learning in a broad range of medical imaging scenarios, such as computer-aided diagnosis, image segmentation, tissue recognition and classification, and other areas of medical and healthcare problems. Each of its chapters covers a topic in depth, ranging from medical image synthesis and techniques for muskuloskeletal analysis to diagnostic tools for breast lesions on digital mammograms and glaucoma on retinal fundus images. It also provides an overview of deep learning in medical image analysis and highlights issues and challenges encountered by researchers and clinicians, surveying and discussing practical approaches in general and in the context of specific problems. Academics, clinical and industry researchers, as well as young researchers and graduate students in medical imaging, computer-aided-diagnosis, biomedical engineering and computer vision will find this book a great reference and very useful learning resource.
Author : Archi Agrawal
Publisher : Springer
ISBN 13 : 3319726617
Total Pages : 98 pages
Book Rating : 4.3/5 (197 download)
Download or read book PET/CT in Lung Cancer written by Archi Agrawal and published by Springer. This book was released on 2018-02-16 with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt: This concise, excellently illustrated pocket book provides an up-to-date summary of the science and practice of PET/CT imaging in lung cancer. The coverage encompasses the entire spectrum of lung cancer – pathology, radiological and PET/CT imaging, and management. Readers will also find information on the physics of PET and its use in respiratory gating and radiotherapy planning. The highlights of the book are the exquisite depiction of normal variants, pitfalls, and artifacts and a pictorial atlas of the various types of lung cancer and their manifestations. The contributing authors are well-known and experienced oncologists, pathologists, radiologists, and nuclear physicians. This book has been compiled under the auspices of the British Nuclear Medicine Society. It will be of high value for nuclear physicians, radiologists, referring clinicians and oncologists, and paramedical staff working in these fields
