Artificial Intelligence and PET Imaging, Part 1, An Issue of PET Clinics PDF Download
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Author: Babak Saboury
Publisher: Elsevier Health Sciences
ISBN: 0323835619
Category : Medical
Languages : en
Pages : 225
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Book Description
Artificial Intelligence and PET Imaging, Part 1, An Issue of PET Clinics, E-Book
Author: Babak Saboury
Publisher: Elsevier Health Sciences
ISBN: 0323835619
Category : Medical
Languages : en
Pages : 225
Get Book Here
Book Description
Artificial Intelligence and PET Imaging, Part 1, An Issue of PET Clinics, E-Book
Author: Arman Rahmim
Publisher: Elsevier Health Sciences
ISBN: 0323850146
Category : Medical
Languages : en
Pages : 241
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Book Description
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: Eric Guedj
Publisher: Elsevier Health Sciences
ISBN: 0443297991
Category : Medical
Languages : en
Pages : 193
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Book Description
In this issue of PET Clinics, guest editors Drs. Abass Alavi, Andrew B. Newberg, Poul Flemming Høilund-Carlsen, and Eric Guedj bring their considerable expertise to the topic of PET-CT-MRI in Central Nervous System Disorders with Emphasis on Dementias. Top experts in the field provide an overview of PET imaging in the most common dementias and brain diseases, such as Alzheimer's and epilepsy. Specific articles also investigate normal brain aging, long COVID, brain trauma, and human experience and consciousness. - Contains 12 relevant, practice-oriented topics including PET, CT, and MRI/fMRI in Alzheimer's disease; brain PET imaging of movement disorders; the role of PET in depressive disorders; PET imaging for assessing brain function in normal aging; brain PET imaging of epilepsy; and more. - Provides in-depth clinical reviews on PET-CT-MRI in CNS disorders with emphasis on dementias, offering 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 clinically significant, topic-based reviews.
Author: Harshad R. Kulkarni
Publisher: Elsevier Health Sciences
ISBN: 0323849059
Category : Medical
Languages : en
Pages : 121
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Book Description
In this issue of PET Clinics, guest editors Drs. Harshad R. Kulkarni and Abass Alavi bring their considerable expertise to the topic of Prostate Cancer. PET imaging for prostate cancer continues to evolve as new radiotracers and imaging modalities are combined. This issue offers an up-to-date review of the most popular radiotracers and how PET imaging is combined with MR, CT, and ultrasound to provide the most accurate diagnosis of prostate cancer. - Contains 12 practice-oriented topics including the role of ultrasound, CT, and MRI in managing patients with prostate cancer; Ga68 PSMA imaging; PET imaging for prostate cancer using F-18 Fluciclovine; PET imaging for prostate cancer using Ga-68 RM2; the role of NaF PET in the imaging of prostate cancer; and more. - Provides in-depth clinical reviews on prostate cancer, offering 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 clinically significant, topic-based reviews.
Author: Randy L. Jensen
Publisher: Elsevier Health Sciences
ISBN: 0323938507
Category : Medical
Languages : en
Pages : 209
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Book Description
In this issue of Neurosurgery Clinics, guest editors Drs. Randy L. Jensen and Gabriel Zada bring their considerable expertise to the topic of Meningioma. Top experts in the field cover key topics such as genomic and epigenomic landscape of meningioma; current pathology of meningiomas; medical management of meningiomas; endoscope endonasal and keyhole surgery for skull base meningiomas; open craniotomy for meningiomas; and more. - Contains 17 relevant, practice-oriented topics including management of intraventricular meningioma; spinal meningiomas; immunotherapy and other targeted therapies for meningiomas; the role of radiotherapy in the treatment of higher-grade meningioma; advanced meningioma imaging; and more. - Provides in-depth clinical reviews on meningioma, offering 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 clinically significant, topic-based reviews.
Author: Erik R. Ranschaert
Publisher: Springer
ISBN: 3319948784
Category : Medical
Languages : en
Pages : 369
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Book Description
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: Reza Forghani
Publisher: Elsevier Health Sciences
ISBN: 0323712452
Category : Medical
Languages : en
Pages : 192
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Book Description
This issue of Neuroimaging Clinics of North America focuses on Artificial Intelligence and Machine Learning and is edited by Dr. Reza Forghani. Articles will include: A Brief History of Artificial Intelligence; Evolution of Approaches for Computerized Image Analysis; Overview of Machine Learning Part 1: Classic Approaches; Overview of Machine Learning Part 2: Artificial Neural Networks & Deep Learning; Overview of Natural Language Processing; Artificial Intelligence & Stroke Imaging: An East Coast Perspective; Artificial Intelligence & Stroke Imaging: A West Coast Perspective; Artificial Intelligence Applications for Brain Tumor Imaging; Diverse Applications of Artificial Intelligence in Neuroradiology; Artificial Intelligence Applications for Head and Neck Imaging; Artificial Intelligence Applications for Predictive Analytics and Workflow Optimization; Artificial Intelligence, Advanced Visualization, and 3D Printing; Ethical & Legal Considerations for Artificial Intelligence; Comprehensive (or 360) Artificial Intelligence: Beyond Image Interpretation Alone, and more!
Author: Brandon K. K. Fields
Publisher: Frontiers Media SA
ISBN: 2832556418
Category : Medical
Languages : en
Pages : 119
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Book Description
Increasing interest in the development and validation of quantitative imaging biomarkers for oncologic imaging has in recent years inspired a surge in the field of artificial intelligence and machine learning. Initial results showed promise in identifying potential markers of treatment response, malignant potential, and prognostic predictors, among others; however, while many of these early algorithms showed the optimistic ability to separate pathologic states on “in-house” datasets, it was often the case that these classifiers generalized poorly on external validation sets and thus were of limited utility in the clinical setting. This issue was additionally compounded by the frequent use of data filtering and feature selection techniques in many studies to further bolster the machine learning results in limited case scenarios, thereby biasing the overall fit and further reducing generalizability.
Author: Gobert Lee
Publisher: Springer Nature
ISBN: 3030331288
Category : Medical
Languages : en
Pages : 184
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Book Description
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: Lalit Mohan Goyal
Publisher: CRC Press
ISBN: 1000386252
Category : Health & Fitness
Languages : en
Pages : 406
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Book Description
This book reveals the applications of AI and IoT in smart healthcare and medical systems. It provides core principles, algorithms, protocols, emerging trends, security problems, and the latest e-healthcare services findings. The book also provides case studies and discusses how AI and IoT applications such as wireless devices, sensors, and deep learning could play a major role in assisting patients, doctors, and pharmaceutical staff. It focuses on how to use AI and IoT to keep patients safe and healthy and, at the same time, empower physicians to deliver superlative care. This book is written for researchers and practitioners working in the information technology, computer science, and medical equipment manufacturing industry for products and services having basic- and high-level AI and IoT applications. The book is also a useful guide for academic researchers and students.
