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Molecular Imaging: Computer Reconstruction and Practice
This book reports the majority of lectures given during the NATO Advanced Study Institute ASI-982440, which was held at the European Scienti?c Institute of Archamps (ESI, Archamps – France) from November 9 to November 21, 2006. The ASI course was structured in two parts, the ?rst was dedicated to individual imaging techniques while the second is the object of this volume and focused on data modelling and processing and on image archiving and distribution. Courses devoted to nuclear medicine and digital imaging techniques are collected in a c- plementary volume of NATO Science Series entitled “Physics for Medical Imaging Applications” (ISBN 978-1-4020-5650-5). Every year in autumn ESI o...
Leibel and Phillips Textbook of Radiation Oncology - E-Book
Stay on top of the latest scientific and therapeutic advances with the new edition of Leibel and Phillips Textbook of Radiation Oncology. Dr. Theodore L. Phillips, in collaboration with two new authors, Drs. Richard Hoppe and Mack Roach, offers a multidisciplinary look at the presentation of uniform treatment philosophies for cancer patients emphasizing the "treat for cure" philosophy. You can also explore the implementation of new imaging techniques to locate and treat tumors, new molecularly targeted therapies, and new types of treatment delivery. Supplement your reading with online access to the complete contents of the book, a downloadable image library, and more at expertconsult.com. Ga...
Physical Sciences and Engineering Advances in Life Sciences and Oncology
This book presents an Assessment of Physical Sciences and Engineering Advances in Life Sciences and Oncology (APHELION) by a panel of experts. It covers the status and trends of applying physical sciences and engineering principles to oncology research in leading laboratories and organizations in Europe and Asia. The book elaborates on the six topics identified by the panel that have the greatest potential to advance understanding and treatment of cancer, each covered by a chapter in the book. The study was sponsored by the National Cancer Institute (NCI) at the National Institute of Health (NIH), the National Science Foundation (NSF) and the National Institute of Biomedical Imaging and Bioengineering at the NIH in the US under a cooperative agreement with the World Technology Evaluation Center (WTEC).
Computer Vision
Computer vision has made enormous progress in recent years, and its applications are multifaceted and growing quickly, while many challenges still remain. This book brings together a range of leading researchers to examine a wide variety of research directions, challenges, and prospects for computer vision and its applications. This book highlights various core challenges as well as solutions by leading researchers in the field. It covers such important topics as data-driven AI, biometrics, digital forensics, healthcare, robotics, entertainment and XR, autonomous driving, sports analytics, and neuromorphic computing, covering both academic and industry R&D perspectives. Providing a mix of breadth and depth, this book will have an impact across the fields of computer vision, imaging, and AI. Computer Vision: Challenges, Trends, and Opportunities covers timely and important aspects of computer vision and its applications, highlighting the challenges ahead and providing a range of perspectives from top researchers around the world. A substantial compilation of ideas and state-of-the-art solutions, it will be of great benefit to students, researchers, and industry practitioners.
Approaches to Psychic Trauma
This book examines the nature of treatments available for traumatized people, describing common elements, as well as those which are specific to each treatment. It presents a diversity of theories and tools for understanding how history and personalities affect the individual. Complete with case studies, it is ideal for practitioners at all levels.
Explainable AI in Healthcare
This book combines technology and the medical domain. It covers advances in computer vision (CV) and machine learning (ML) that facilitate automation in diagnostics and therapeutic and preventive health care. The special focus on eXplainable Artificial Intelligence (XAI) uncovers the black box of ML and bridges the semantic gap between the technologists and the medical fraternity. Explainable AI in Healthcare: Unboxing Machine Learning for Biomedicine intends to be a premier reference for practitioners, researchers, and students at basic, intermediary levels and expert levels in computer science, electronics and communications, information technology, instrumentation and control, and electri...
Advances in Deep Generative Models for Medical Artificial Intelligence
Generative Artificial Intelligence is rapidly advancing with many state-of-the-art performances on computer vision, speech processing, and natural language processing tasks. Generative adversarial networks and neural diffusion models can generate high-quality synthetic images of human faces, artworks, and coherent essays on different topics. Generative models are also transforming Medical Artificial Intelligence, given their potential to learn complex features from medical imaging and healthcare data. Hence, computer-aided diagnosis and healthcare are benefiting from Medical Artificial Intelligence and Generative Artificial Intelligence. This book presents the recent advances in generative m...
