Radiomics and Its Clinical Application

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  • Publisher : Academic Press
  • Release : 03 June 2021
  • ISBN : 9780128181027
  • Page : 300 pages
  • Rating : 4.5/5 from 103 voters

Radiomics and Its Clinical Application Book PDF summary

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

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Radiomics and Its Clinical Application

Radiomics and Its Clinical Application
  • Author : Jie Tian,Di Dong,Zhenyu Liu,Jingwei Wei
  • Publisher : Academic Press
  • Release Date : 2021-06-03
  • ISBN : 9780128181027
DOWNLOAD BOOKRadiomics and Its Clinical Application

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

Radiomics and Radiogenomics

Radiomics and Radiogenomics
  • Author : Ruijiang Li,Lei Xing,Sandy Napel,Daniel L. Rubin
  • Publisher : CRC Press
  • Release Date : 2019-07-09
  • ISBN : 9781351208260
DOWNLOAD BOOKRadiomics and Radiogenomics

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

Artificial Intelligence in Medicine

Artificial Intelligence in Medicine
  • Author : Lei Xing,Maryellen L. Giger,James K. Min
  • Publisher : Academic Press
  • Release Date : 2020-09-03
  • ISBN : 9780128212585
DOWNLOAD BOOKArtificial Intelligence in Medicine

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

Big Data in Radiation Oncology

Big Data in Radiation Oncology
  • Author : Jun Deng,Lei Xing
  • Publisher : CRC Press
  • Release Date : 2019-03-07
  • ISBN : 9781351801126
DOWNLOAD BOOKBig Data in Radiation Oncology

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

Molecular Imaging in Oncology

Molecular Imaging in Oncology
  • Author : Otmar Schober,Burkhard Riemann
  • Publisher : Springer Science & Business Media
  • Release Date : 2012-11-28
  • ISBN : 9783642108532
DOWNLOAD BOOKMolecular Imaging in Oncology

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,

Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging

Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging
  • Author : Kenji Suzuki,Yisong Chen
  • Publisher : Springer
  • Release Date : 2018-01-09
  • ISBN : 9783319688435
DOWNLOAD BOOKArtificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging

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

Machine Learning in Cardiovascular Medicine

Machine Learning in Cardiovascular Medicine
  • Author : Subhi J. Al'Aref,Gurpreet Singh,Lohendran Baskaran,Dimitri Metaxas
  • Publisher : Academic Press
  • Release Date : 2020-11-20
  • ISBN : 9780128202746
DOWNLOAD BOOKMachine Learning in Cardiovascular Medicine

Machine Learning in Cardiovascular Medicine addresses the ever-expanding applications of artificial intelligence (AI), specifically machine learning (ML), in healthcare and within cardiovascular medicine. The book focuses on emphasizing ML for biomedical applications and provides a comprehensive summary of the past and present of AI, basics of ML, and clinical applications of ML within cardiovascular medicine for predictive analytics and precision medicine. It helps readers understand how ML works along with its limitations and strengths, such that they can could harness

Neuroimaging Techniques in Clinical Practice

Neuroimaging Techniques in Clinical Practice
  • Author : Manoj Mannil,Sebastian F.-X. Winklhofer
  • Publisher : Springer Nature
  • Release Date : 2020-08-11
  • ISBN : 9783030484194
DOWNLOAD BOOKNeuroimaging Techniques in Clinical Practice

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

Imaging in Clinical Oncology

Imaging in Clinical Oncology
  • Author : Athanasios D. Gouliamos,John Andreou,Paris Kosmidis
  • Publisher : Springer Science & Business Media
  • Release Date : 2013-11-26
  • ISBN : 9788847053854
DOWNLOAD BOOKImaging in Clinical Oncology

This encompassing book is designed to contribute to a teamwork approach by promoting understanding between radiologists and clinical oncologists. All of the currently available imaging modalities of relevance in clinical oncology are covered, and the presentation of a broad spectrum of oncologic diseases (of most organ systems) on these modalities is discussed and illustrated. The role of multiparametric and multimodality imaging approaches providing both morphologic and functional information is considered in detail, and careful attention is paid to the latest

Biomedical Texture Analysis

Biomedical Texture Analysis
  • Author : Adrien Depeursinge,Omar S Al-Kadi,J.Ross Mitchell
  • Publisher : Academic Press
  • Release Date : 2017-08-25
  • ISBN : 9780128123218
DOWNLOAD BOOKBiomedical Texture Analysis

Biomedical Texture Analysis: Fundamentals, Applications, Tools and Challenges describes the fundamentals and applications of biomedical texture analysis (BTA) for precision medicine. It defines what biomedical textures (BTs) are and why they require specific image analysis design approaches when compared to more classical computer vision applications. The fundamental properties of BTs are given to highlight key aspects of texture operator design, providing a foundation for biomedical engineers to build the next generation of biomedical texture operators. Examples of novel texture operators

Meningioma: From Basic Research to Clinical Translational Study

Meningioma: From Basic Research to Clinical Translational Study
  • Author : Hailiang Tang,Allen Ho
  • Publisher : Frontiers Media SA
  • Release Date : 2021-12-29
  • ISBN : 9782889718702
DOWNLOAD BOOKMeningioma: From Basic Research to Clinical Translational Study

Clinical Applications of SPECT-CT

Clinical Applications of SPECT-CT
  • Author : Hojjat Ahmadzadehfar,Hans-Jürgen Biersack,Ken Herrmann
  • Publisher : Springer Nature
  • Release Date : 2021-12-09
  • ISBN : 9783030658502
DOWNLOAD BOOKClinical Applications of SPECT-CT

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

Big Data Analytics for Healthcare

Big Data Analytics for Healthcare
  • Author : Pantea Keikhosrokiani
  • Publisher : Academic Press
  • Release Date : 2022-05-19
  • ISBN : 9780323985161
DOWNLOAD BOOKBig Data Analytics for Healthcare

Big Data Analytics and Medical Information Systems presents the valuable use of artificial intelligence and big data analytics in healthcare and medical sciences. It focuses on theories, methods and approaches in which data analytic techniques can be used to examine medical data to provide a meaningful pattern for classification, diagnosis, treatment, and prediction of diseases. The book discusses topics such as theories and concepts of the field, and how big medical data mining techniques and applications can be applied to

AI in Biological and Biomedical Imaging

AI in Biological and Biomedical Imaging
  • Author : Xin Gao,Lihua Li,Min Xu
  • Publisher : Frontiers Media SA
  • Release Date : 2022-01-17
  • ISBN : 9782889740499
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Doctors Gao and Li hold patents related to artificial intelligence.

Artificial Intelligence in Medical Imaging

Artificial Intelligence in Medical Imaging
  • Author : Erik R. Ranschaert,Sergey Morozov,Paul R. Algra
  • Publisher : Springer
  • Release Date : 2019-01-29
  • ISBN : 9783319948782
DOWNLOAD BOOKArtificial Intelligence in Medical Imaging

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