Radiomics and Its Clinical Application

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  • Author : Jie Tian
  • Publisher : Academic Press
  • Pages : 300 pages
  • ISBN : 0128181028
  • Rating : /5 from reviews
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Download or Read online Radiomics and Its Clinical Application full in PDF, ePub and kindle. this book written by Jie Tian and published by Academic Press which was released on 03 June 2021 with total page 300 pages. We cannot guarantee that Radiomics and Its Clinical Application book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 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

Radiomics and Its Clinical Application
  • Author : Jie Tian,Di Dong,Zhenyu Liu,Jingwei Wei
  • Publisher : Academic Press
  • Release : 03 June 2021
GET THIS BOOK Radiomics 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

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 : 09 January 2018
GET THIS BOOK Artificial 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

Meta Learning With Medical Imaging and Health Informatics Applications

Meta Learning With Medical Imaging and Health Informatics Applications
  • Author : Hien Van Nguyen,Ronald Summers,Rama Chellappa
  • Publisher : Academic Press
  • Release : 30 September 2022
GET THIS BOOK Meta Learning With Medical Imaging and Health Informatics Applications

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

Radiomics and Radiogenomics

Radiomics and Radiogenomics
  • Author : Ruijiang Li,Lei Xing,Sandy Napel,Daniel L. Rubin
  • Publisher : CRC Press
  • Release : 09 July 2019
GET THIS BOOK Radiomics 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

Clinical Applications of SPECT CT

Clinical Applications of SPECT CT
  • Author : Hojjat Ahmadzadehfar,Hans-Jürgen Biersack,Ken Herrmann
  • Publisher : Springer Nature
  • Release : 09 December 2021
GET THIS BOOK Clinical 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

Radiomics and Radiogenomics

Radiomics and Radiogenomics
  • Author : Ruijiang Li,Lei Xing,Sandy Napel,Daniel L. Rubin
  • Publisher : CRC Press
  • Release : 03 July 2019
GET THIS BOOK Radiomics 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 Machine Learning in Nuclear Medicine and Hybrid Imaging

Artificial Intelligence Machine Learning in Nuclear Medicine and Hybrid Imaging
  • Author : Patrick Veit-Haibach,Ken Herrmann
  • Publisher : Springer Nature
  • Release : 22 June 2022
GET THIS BOOK Artificial Intelligence Machine Learning in Nuclear Medicine and Hybrid Imaging

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

Artificial Intelligence in Medicine

Artificial Intelligence in Medicine
  • Author : Lei Xing,Maryellen L. Giger,James K. Min
  • Publisher : Academic Press
  • Release : 03 September 2020
GET THIS BOOK Artificial 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