Radiomics and Its Clinical Application Book

Radiomics and Its Clinical Application


  • Author : Jie Tian
  • Publisher : Academic Press
  • Release Date : 2021-06-03
  • Genre: Computers
  • Pages : 300
  • ISBN 10 : 9780128181027

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Radiomics and Its Clinical Application Excerpt :

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

Radiomics and Its Clinical Application Book

Radiomics and Its Clinical Application


  • Author : Jie Tian
  • Publisher : Elsevier
  • Release Date : 2021-06-09
  • Genre: Computers
  • Pages : 300
  • ISBN 10 : 9780128181010

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Radiomics and Its Clinical Application Excerpt :

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

Radiomics and Radiogenomics Book

Radiomics and Radiogenomics


  • Author : Ruijiang Li
  • Publisher : CRC Press
  • Release Date : 2019-07-09
  • Genre: Science
  • Pages : 420
  • ISBN 10 : 9781351208260

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Radiomics and Radiogenomics Excerpt :

Radiomics and Radiogenomics: Technical Basis and Clinical Applications provides a first summary of the overlapping fields of radiomics and radiogenomics, showcasing how they are being used to evaluate disease characteristics and correlate with treatment response and patient prognosis. It explains the fundamental principles, technical bases, and clinical applications with a focus on oncology. The book’s expert authors present computational approaches for extracting imaging features that help to detect and characterize disease tissues for improving diagnosis, prognosis, and evaluation of therapy response. This book is intended for audiences including imaging scientists, medical physicists, as well as medical professionals and specialists such as diagnostic radiologists, radiation oncologists, and medical oncologists. Features Provides a first complete overview of the technical underpinnings and clinical applications of radiomics and radiogenomics Shows how they are improving diagnostic and prognostic decisions with greater efficacy Discusses the image informatics, quantitative imaging, feature extraction, predictive modeling, software tools, and other key areas Covers applications in oncology and beyond, covering all major disease sites in separate chapters Includes an introduction to basic principles and discussion of emerging research directions with a roadmap to clinical translation

Radiomics and Radiogenomics Book

Radiomics and Radiogenomics


  • Author : Ruijiang Li
  • Publisher : CRC Press
  • Release Date : 2021-03-31
  • Genre: Cancer
  • Pages : 420
  • ISBN 10 : 0367779587

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Radiomics and Radiogenomics Excerpt :

This book provides a first summary of the overlapping fields of radiomics and radiogenomics, showcasing how they are being used to evaluate disease characteristics and correlate with treatment response and patient prognosis.

Big Data in Radiation Oncology Book

Big Data in Radiation Oncology


  • Author : Jun Deng
  • Publisher : CRC Press
  • Release Date : 2019-03-07
  • Genre: Science
  • Pages : 355
  • ISBN 10 : 9781351801119

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Big Data in Radiation Oncology Excerpt :

Big Data in Radiation Oncology gives readers an in-depth look into how big data is having an impact on the clinical care of cancer patients. While basic principles and key analytical and processing techniques are introduced in the early chapters, the rest of the book turns to clinical applications, in particular for cancer registries, informatics, radiomics, radiogenomics, patient safety and quality of care, patient-reported outcomes, comparative effectiveness, treatment planning, and clinical decision-making. More features of the book are: Offers the first focused treatment of the role of big data in the clinic and its impact on radiation therapy. Covers applications in cancer registry, radiomics, patient safety, quality of care, treatment planning, decision making, and other key areas. Discusses the fundamental principles and techniques for processing and analysis of big data. Address the use of big data in cancer prevention, detection, prognosis, and management. Provides practical guidance on implementation for clinicians and other stakeholders. Dr. Jun Deng is a professor at the Department of Therapeutic Radiology of Yale University School of Medicine and an ABR board certified medical physicist at Yale-New Haven Hospital. He has received numerous honors and awards such as Fellow of Institute of Physics in 2004, AAPM Medical Physics Travel Grant in 2008, ASTRO IGRT Symposium Travel Grant in 2009, AAPM-IPEM Medical Physics Travel Grant in 2011, and Fellow of AAPM in 2013. Lei Xing, Ph.D., is the Jacob Haimson Professor of Medical Physics and Director of Medical Physics Division of Radiation Oncology Department at Stanford University. His research has been focused on inverse treatment planning, tomographic image reconstruction, CT, optical and PET imaging instrumentations, image guided interventions, nanomedicine, and applications of molecular imaging in radiation oncology. Dr. Xing is on the editorial boards of a number of journals in radiation physics and medica

Molecular Imaging in Oncology Book

Molecular Imaging in Oncology


  • Author : Otmar Schober
  • Publisher : Springer Science & Business Media
  • Release Date : 2012-11-28
  • Genre: Medical
  • Pages : 416
  • ISBN 10 : 9783642108532

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Molecular Imaging in Oncology Excerpt :

The impact of molecular imaging on diagnostics, therapy, and follow-up in oncology is increasing steadily. Many innovative molecular imaging probes have already entered clinical practice, and there is no doubt that the future emphasis will be on multimodality imaging in which morphological, functional, and molecular imaging techniques are combined in a single clinical investigation. This handbook addresses all aspects of molecular imaging in oncology, from basic research to clinical applications. The first section is devoted to technology and probe design, and examines a variety of PET and SPECT tracers as well as multimodality probes. Preclinical studies are then discussed in detail, with particular attention to multimodality imaging. In the third section, diverse clinical applications are presented, and the book closes by looking at future challenges. This handbook will be of value to all who are interested in the revolution in diagnostic oncology that is being brought about by molecular imaging.

Artificial Intelligence in Medicine Book

Artificial Intelligence in Medicine


  • Author : Lei Xing
  • Publisher : Academic Press
  • Release Date : 2020-09-03
  • Genre: Business & Economics
  • Pages : 568
  • ISBN 10 : 9780128212585

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Artificial Intelligence in Medicine Excerpt :

Artificial Intelligence Medicine: Technical Basis and Clinical Applications presents a comprehensive overview of the field, ranging from its history and technical foundations, to specific clinical applications and finally to prospects. Artificial Intelligence (AI) is expanding across all domains at a breakneck speed. Medicine, with the availability of large multidimensional datasets, lends itself to strong potential advancement with the appropriate harnessing of AI. The integration of AI can occur throughout the continuum of medicine: from basic laboratory discovery to clinical application and healthcare delivery. Integrating AI within medicine has been met with both excitement and scepticism. By understanding how AI works, and developing an appreciation for both limitations and strengths, clinicians can harness its computational power to streamline workflow and improve patient care. It also provides the opportunity to improve upon research methodologies beyond what is currently available using traditional statistical approaches. On the other hand, computers scientists and data analysts can provide solutions, but often lack easy access to clinical insight that may help focus their efforts. This book provides vital background knowledge to help bring these two groups together, and to engage in more streamlined dialogue to yield productive collaborative solutions in the field of medicine. Provides history and overview of artificial intelligence, as narrated by pioneers in the field Discusses broad and deep background and updates on recent advances in both medicine and artificial intelligence that enabled the application of artificial intelligence Addresses the ever-expanding application of this novel technology and discusses some of the unique challenges associated with such an approach

Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging Book

Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging


  • Author : Kenji Suzuki
  • Publisher : Springer
  • Release Date : 2018-01-09
  • Genre: Technology & Engineering
  • Pages : 387
  • ISBN 10 : 9783319688435

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Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging 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.

Meta Learning With Medical Imaging and Health Informatics Applications Book

Meta Learning With Medical Imaging and Health Informatics Applications


  • Author : Hien Van Nguyen
  • Publisher : Academic Press
  • Release Date : 2022-09-30
  • Genre: Computers
  • Pages : 430
  • ISBN 10 : 9780323998529

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Meta Learning With Medical Imaging and Health Informatics Applications Excerpt :

Meta-Learning, or learning to learn, has become increasingly popular in recent years. Instead of building AI systems from scratch for each machine learning task, Meta-Learning constructs computational mechanisms to systematically and efficiently adapt to new tasks. The meta-learning paradigm has great potential to address deep neural networks’ fundamental challenges such as intensive data requirement, computationally expensive training, and limited capacity for transfer among tasks. This book provides a concise summary of Meta-Learning theories and their diverse applications in medical imaging and health informatics. It covers the unifying theory of meta-learning and its popular variants such as model-agnostic learning, memory augmentation, prototypical networks, and learning to optimize. The book brings together thought leaders from both machine learning and health informatics fields to discuss the current state of Meta-Learning, its relevance to medical imaging and health informatics, and future directions. The book comes with a GitHub repository consisting of various code examples and documentation to help the audience to set up Meta-Learning algorithms for their applications quickly. First book on applying Meta Learning to medical imaging Pioneers in the field as contributing authors to explain the theory and its development Has GitHub repository consisting of various code examples and documentation to help the audience to set up Meta-Learning algorithms for their applications quickly

 Book


  • Author : Anonim
  • Publisher : IOS Press
  • Release Date : 2022-12-08
  • Genre: Uncategoriezed
  • Pages : 390
  • ISBN 10 : 9781643683270

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Excerpt :

Neuroimaging Techniques in Clinical Practice Book

Neuroimaging Techniques in Clinical Practice


  • Author : Manoj Mannil
  • Publisher : Springer Nature
  • Release Date : 2020-08-11
  • Genre: Medical
  • Pages : 342
  • ISBN 10 : 9783030484194

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Neuroimaging Techniques in Clinical Practice Excerpt :

This book provides a concise overview of emerging technologies in the field of modern neuroimaging. Fundamental principles of the main imaging modalities are described as well as advanced imaging techniqes including diffusion weighted imaging, perfusion imaging, arterial spin labeling, diffusion tensor imaging, intravoxel incoherent motion, MR spectroscopy, functional MRI, and artificial intelligence. The physical concepts underlying each imaging technique are carefully and clearly explained in a way suited to a medical audience without prior technical knowledge. In addition, the clinical applications of the various techniques are described with the aid of illustrative clinical examples. Helpful background information is also presented on the core principles of MRI and the evolution of neuroimaging, and important references to current medical research are highlighted. The book will meet the needs of a range of non-technological professionals with an interest in advanced neuroimaging, including radiology researchers and clinicians in the fields of neurology, neurosurgery, and psychiatry.

Clinical Applications of SPECT CT Book

Clinical Applications of SPECT CT


  • Author : Hojjat Ahmadzadehfar
  • Publisher : Springer Nature
  • Release Date : 2021-12-09
  • Genre: Medical
  • Pages : 320
  • ISBN 10 : 9783030658502

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Clinical Applications of SPECT CT Excerpt :

This book, now in a revised and updated second edition, covers the full spectrum of clinical applications of SPECT/CT in the diagnosis and therapy planning of benign and malignant diseases. All chapters have been thoroughly updated and some chapters have been completely rewritten by a new group of experts. The opening chapters discuss the technology and physics of SPECT/CT and its use in dosimetry. The role of SPECT/CT in the imaging of a range of pathologic conditions is then addressed in detail. Applications covered include imaging of the thyroid, neuroendocrine tumors, bone, cardiac scintigraphy, sentinel node scintigraphy and imaging of the lungs. Individual chapters are also devoted to therapy planning in selective internal radiation therapy of liver tumors and to Bremsstrahlung SPECT/CT. For Nuclear Medicine Physicians, Radiologists and medical students in this field, the book offers an essential and up-to-date source of information on this invaluable hybrid imaging technique.

Meta Learning Book

Meta Learning


  • Author : Lan Zou
  • Publisher : Elsevier
  • Release Date : 2022-11-18
  • Genre: Computers
  • Pages : 404
  • ISBN 10 : 9780323903707

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Meta Learning Excerpt :

Deep neural networks (DNNs) with their dense and complex algorithms provide real possibilities for Artificial General Intelligence (AGI). Meta-learning with DNNs brings AGI much closer: artificial agents solving intelligent tasks that human beings can achieve, even transcending what they can achieve. Meta-Learning: Theory, Algorithms and Applications shows how meta-learning in combination with DNNs advances towards AGI. The book explains the fundamentals of meta-learning by providing answers to these questions: What is meta-learning?; why do we need meta-learning?; how are self-improved meta-learning mechanisms heading for AGI ?; how can we use meta-learning in our approach to specific scenarios? The book presents the background of seven mainstream paradigms: meta-learning, few-shot learning, deep learning, transfer learning, machine learning, probabilistic modeling, and Bayesian inference. It then explains important state-of-the-art mechanisms and their variants for meta-learning, including memory-augmented neural networks, meta-networks, convolutional Siamese neural networks, matching networks, prototypical networks, relation networks, LSTM meta-learning, model-agnostic meta-learning, and the Reptile algorithm. The book takes a deep dive into nearly 200 state-of-the-art meta-learning algorithms from top tier conferences (e.g. NeurIPS, ICML, CVPR, ACL, ICLR, KDD). It systematically investigates 39 categories of tasks from 11 real-world application fields: Computer Vision, Natural Language Processing, Meta-Reinforcement Learning, Healthcare, Finance and Economy, Construction Materials, Graphic Neural Networks, Program Synthesis, Smart City, Recommended Systems, and Climate Science. Each application field concludes by looking at future trends or by giving a summary of available resources Meta-Learning: Theory, Algorithms and Applications is a great resource to understand the principles of meta-learning and to learn state-of-the-art meta-learning algorithms, giving th

AI in Biological and Biomedical Imaging Book

AI in Biological and Biomedical Imaging


  • Author : Xin Gao
  • Publisher : Frontiers Media SA
  • Release Date : 2022-01-17
  • Genre: Science
  • Pages : 161
  • ISBN 10 : 9782889740499

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AI in Biological and Biomedical Imaging Excerpt :

Doctors Gao and Li hold patents related to artificial intelligence.