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Author : Giorgio Treglia,Salvatore Annunziata
Publisher : Frontiers Media SA
Page : 133 pages
File Size : 45,6 Mb
Release : 2023-06-14
Category : Medical
ISBN : 9782832526347
Author : Patrick Veit-Haibach,Ken Herrmann
Publisher : Springer Nature
Page : 217 pages
File Size : 52,6 Mb
Release : 2022-06-22
Category : Medical
ISBN : 9783031001192
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 : Jie Tian,Di Dong,Zhenyu Liu,Jingwei Wei
Publisher : Academic Press
Page : 302 pages
File Size : 51,9 Mb
Release : 2021-06-03
Category : Computers
ISBN : 9780128181027
The rapid development of artificial intelligence technology in medical data analysis has led to the concept of radiomics. This book introduces the essential and latest technologies in radiomics, such as imaging segmentation, quantitative imaging feature extraction, and machine learning methods for model construction and performance evaluation, providing invaluable guidance for the researcher entering the field. It fully describes three key aspects of radiomic clinical practice: precision diagnosis, the therapeutic effect, and prognostic evaluation, which make radiomics a powerful tool in the clinical setting. This book is a very useful resource for scientists and computer engineers in machine learning and medical image analysis, scientists focusing on antineoplastic drugs, and radiologists, pathologists, oncologists, as well as surgeons wanting to understand radiomics and its potential in clinical practice. An introduction to the concepts of radiomics In-depth presentation of the core technologies and methods Summary of current radiomics research, perspective on the future of radiomics and the challenges ahead An introduction to several platforms that are planned to be built: cooperation, data sharing, software, and application platforms
Author : Erik R. Ranschaert,Sergey Morozov,Paul R. Algra
Publisher : Springer
Page : 373 pages
File Size : 44,9 Mb
Release : 2019-01-29
Category : Medical
ISBN : 9783319948782
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 : Xuelei Ma,Lei Deng,Rong Tian,Chunxiao Guo
Publisher : Frontiers Media SA
Page : 355 pages
File Size : 40,9 Mb
Release : 2021-09-23
Category : Medical
ISBN : 9782889713479
Author : Jiuquan Zhang,Hong Huang,Wenli Cai
Publisher : Frontiers Media SA
Page : 471 pages
File Size : 42,5 Mb
Release : 2022-03-21
Category : Medical
ISBN : 9782889747443
Author : Babak Saboury,Eliot Siegel
Publisher : Elsevier Health Sciences
Page : 225 pages
File Size : 47,9 Mb
Release : 2021-09-21
Category : Medical
ISBN : 9780323835619
Artificial Intelligence and PET Imaging, Part 1, An Issue of PET Clinics, E-Book
Author : Michail E. Klontzas,Salvatore Claudio Fanni,Emanuele Neri
Publisher : Springer
Page : 0 pages
File Size : 54,9 Mb
Release : 2023-09-14
Category : Medical
ISBN : 3031259270
This book aims to provide physicians and scientists with the basics of Artificial Intelligence (AI) with a special focus on medical imaging. The contents of the book provide an introduction to the main topics of artificial intelligence currently applied on medical image analysis. The book starts with a chapter explaining the basic terms used in artificial intelligence for novice readers and embarks on a series of chapters each one of which provides the basics on one AI-related topic. The second chapter presents the programming languages and available automated tools that enable the development of AI applications for medical imaging. The third chapter endeavours to analyse the main traditional machine learning techniques, explaining algorithms such as random forests, support vector machines as well as basic neural networks. The applications of those machines on the analysis of radiomics data is expanded in the fourth chapter to allow the understanding of algorithms used to build classifiers for the diagnosis of disease processes with the use of radiomics. Chapter five provides the basics of natural language processing which has revolutionized the analysis of complex radiological reports and chapter six affords a succinct introduction to convolutional neural networks which have revolutionized medical image analysis enabling automated image-based diagnosis, image enhancement (e.g. denoising), protocolling etc. The penultimate chapter provides an introduction to data preprocessing for use in the aforementioned artificial intelligence applications. The book concludes with a chapter demonstrating AI-based tools already in radiological practice while providing an insight about the foreseeable future. It will be a valuable resource for radiologists, computer scientists and postgraduate students working on medical image analysis.
Author : Lia Morra,Silvia Delsanto,Loredana Correale
Publisher : CRC Press
Page : 165 pages
File Size : 54,8 Mb
Release : 2019-11-25
Category : Science
ISBN : 9781000753080
Choice Recommended Title, January 2021 This book, written by authors with more than a decade of experience in the design and development of artificial intelligence (AI) systems in medical imaging, will guide readers in the understanding of one of the most exciting fields today. After an introductory description of classical machine learning techniques, the fundamentals of deep learning are explained in a simple yet comprehensive manner. The book then proceeds with a historical perspective of how medical AI developed in time, detailing which applications triumphed and which failed, from the era of computer aided detection systems on to the current cutting-edge applications in deep learning today, which are starting to exhibit on-par performance with clinical experts. In the last section, the book offers a view on the complexity of the validation of artificial intelligence applications for commercial use, describing the recently introduced concept of software as a medical device, as well as good practices and relevant considerations for training and testing machine learning systems for medical use. Open problematics on the validation for public use of systems which by nature continuously evolve through new data is also explored. The book will be of interest to graduate students in medical physics, biomedical engineering and computer science, in addition to researchers and medical professionals operating in the medical imaging domain, who wish to better understand these technologies and the future of the field. Features: An accessible yet detailed overview of the field Explores a hot and growing topic Provides an interdisciplinary perspective
Author : Anonim
Publisher : Elsevier
Page : 2910 pages
File Size : 44,8 Mb
Release : 2022-07-15
Category : Science
ISBN : 0128229608
Nuclear Medicine and Molecular Imaging offers complete coverage of this exciting and key area of biomedicine, seamlessly fusing the science behind nuclear medicine with the clinical aspects of diagnostic imaging. Beginning with sections on the physics related to nuclear medicine, radiation biology/safety, and instrumentation/quality control, it then covers radiochemistry and the development of new radionuclide therapy/tracers, and basic techniques such as positron emission tomography (PET) and single photon emission computed tomography (SPECT). The focus then shifts to the clinical aspects, with sections on clinical/preclinical nuclear imaging (structured via organ system such as gastrointestinal, cardiovascular, pulmonary, etc.), as well as other in vivo molecular imaging techniques such as optical imaging, digital image analysis (radiomics), as well as the increasing use of artificial intelligence (AI) in diagnostics. No other publication provides such a complete overview of the field, with most choosing to focus either on physics or imaging. In most cases, preclinical/experimental imaging is treated separately from clinical imaging. Nuclear Medicine and Molecular Imaging brings it all together into a complete, 4-volume, foundational resource for researchers and medical professionals specializing in this exciting area. Provides a 'one-stop' resource on all aspects of Nuclear Medicine and Molecular Imaging, including both preclinical and clinical aspects, physics and applications Presents concise, authoritative chapters expertly authored Includes high quality, full color images and videos, as well as interactive multimedia features
Author : Euclid Seeram,Vijay Kanade
Publisher : Springer
Page : 0 pages
File Size : 45,9 Mb
Release : 2024-08-22
Category : Medical
ISBN : 3031640489
This book covers the principles, concepts, and applications of artificial intelligence in medical imaging technologies, specifically in the context of diagnostic imaging, such as radiography and radiological technology. First, artificial intelligence and its subsets machine learning and deep learning are described followed by a discussion of applications of these AI principles in medical imaging technologies. Finally, ethical questions, regulatory aspects, and future trends and challenges are also reviewed in this textbook. This book is intended for both students and practitioners in radiological technology, radiography, radiation therapy, nuclear medicine technology, diagnostic medical sonography, and biomedical engineering technology. Furthermore, residents in radiology, and medical physics students and related healthcare personnel (administrators and managers for example) may find this book useful.
Author : Arman Rahmim,Babak Saboury,Eliot Siegel
Publisher : Elsevier Health Sciences
Page : 241 pages
File Size : 55,8 Mb
Release : 2021-11-27
Category : Medical
ISBN : 9780323850148
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 : Daniel L. Rubin
Publisher : Elsevier Health Sciences
Page : 201 pages
File Size : 44,5 Mb
Release : 2021-10-27
Category : Medical
ISBN : 9780323813563
Artificial Intelligence in Radiology, An Issue of Radiologic Clinics of North America, E-Book
Author : John A. Andreou,Paris A. Kosmidis,Athanasios D. Gouliamos
Publisher : Springer Nature
Page : 156 pages
File Size : 44,5 Mb
Release : 2022-10-22
Category : Medical
ISBN : 9783031100901
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 : K.C. Santosh,Sameer Antani,DS Guru,Nilanjan Dey
Publisher : CRC Press
Page : 200 pages
File Size : 47,6 Mb
Release : 2019-08-20
Category : Computers
ISBN : 9780429639326
The book discusses varied topics pertaining to advanced or up-to-date techniques in medical imaging using artificial intelligence (AI), image recognition (IR) and machine learning (ML) algorithms/techniques. Further, coverage includes analysis of chest radiographs (chest x-rays) via stacked generalization models, TB type detection using slice separation approach, brain tumor image segmentation via deep learning, mammogram mass separation, epileptic seizures, breast ultrasound images, knee joint x-ray images, bone fracture detection and labeling, and diabetic retinopathy. It also reviews 3D imaging in biomedical applications and pathological medical imaging.