The Application Of Radiomics And Artificial Intelligence In Cancer Imaging
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The Application Of Radiomics And Artificial Intelligence In Cancer Imaging
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Author : Jiuquan Zhang
language : en
Publisher: Frontiers Media SA
Release Date : 2022-03-21
The Application Of Radiomics And Artificial Intelligence In Cancer Imaging written by Jiuquan Zhang and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-21 with Medical categories.
Radiomics And Its Clinical Application
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Author : Jie Tian
language : en
Publisher: Academic Press
Release Date : 2021-06-03
Radiomics And Its Clinical Application written by Jie Tian and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-03 with Computers categories.
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
Artificial Intelligence In Medical Imaging
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Author : Erik R. Ranschaert
language : en
Publisher: Springer
Release Date : 2019-01-29
Artificial Intelligence In Medical Imaging written by Erik R. Ranschaert and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-29 with Medical categories.
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 implicationsfor 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.
Contouring In Head And Neck Cancer
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Author : Peter C. Levendag
language : en
Publisher: Elsevier,Urban&FischerVerlag
Release Date : 2009
Contouring In Head And Neck Cancer written by Peter C. Levendag and has been published by Elsevier,Urban&FischerVerlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with categories.
Artificial Intelligence In Decision Support Systems For Diagnosis In Medical Imaging
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Author : Kenji Suzuki
language : en
Publisher: Springer
Release Date : 2018-01-09
Artificial Intelligence In Decision Support Systems For Diagnosis In Medical Imaging written by Kenji Suzuki and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-09 with Technology & Engineering categories.
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.
Deep Learning For Medical Image Analysis
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Author : S. Kevin Zhou
language : en
Publisher: Academic Press
Release Date : 2017-01-18
Deep Learning For Medical Image Analysis written by S. Kevin Zhou and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-18 with Computers categories.
Deep learning is providing exciting solutions for medical image analysis problems and is seen as a key method for future applications. This book gives a clear understanding of the principles and methods of neural network and deep learning concepts, showing how the algorithms that integrate deep learning as a core component have been applied to medical image detection, segmentation and registration, and computer-aided analysis, using a wide variety of application areas. Deep Learning for Medical Image Analysis is a great learning resource for academic and industry researchers in medical imaging analysis, and for graduate students taking courses on machine learning and deep learning for computer vision and medical image computing and analysis. Covers common research problems in medical image analysis and their challenges Describes deep learning methods and the theories behind approaches for medical image analysis Teaches how algorithms are applied to a broad range of application areas, including Chest X-ray, breast CAD, lung and chest, microscopy and pathology, etc. Includes a Foreword written by Nicholas Ayache
Radiomics And Artificial Intelligence In Radiology And Nuclear Medicine
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Author : Giorgio Treglia
language : en
Publisher: Frontiers Media SA
Release Date : 2023-06-14
Radiomics And Artificial Intelligence In Radiology And Nuclear Medicine written by Giorgio Treglia and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-14 with Medical categories.
Head And Neck Cancer Imaging
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Author : Robert Hermans
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-02-03
Head And Neck Cancer Imaging written by Robert Hermans and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-02-03 with Medical categories.
This book provides a comprehensive review of state-of-the-art imaging in head and neck cancer. Precise determination of tumor extent is of the utmost importance in these neoplasms, as it has important consequences for staging of disease, prediction of outcome and choice of treatment. Only the radiologist can fully appreciate submucosal, perineural, and perivascular tumor spread and detect metastatic disease at an early stage. Imaging is also of considerable benefit for patient surveillance after treatment. All imaging modalities currently used in the management of head and neck neoplasms are considered in depth, and in addition newer techniques such as PET-CT and diffusion-weighted MRI are discussed. This book will help the reader to recommend, execute and report head and neck imaging studies at a high level of sophistication and thereby to become a respected member of the team managing head and neck cancer.
Advances Of Radiomics And Artificial Intelligence In The Management Of Patients With Central Nervous System Tumors
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Author : Xuejun Li
language : en
Publisher: Frontiers Media SA
Release Date : 2023-02-27
Advances Of Radiomics And Artificial Intelligence In The Management Of Patients With Central Nervous System Tumors written by Xuejun Li and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-27 with Medical categories.
Machine Learning In Radiation Oncology
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Author : Issam El Naqa
language : en
Publisher: Springer
Release Date : 2015-06-19
Machine Learning In Radiation Oncology written by Issam El Naqa and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-06-19 with Medical categories.
This book provides a complete overview of the role of machine learning in radiation oncology and medical physics, covering basic theory, methods, and a variety of applications in medical physics and radiotherapy. An introductory section explains machine learning, reviews supervised and unsupervised learning methods, discusses performance evaluation, and summarizes potential applications in radiation oncology. Detailed individual sections are then devoted to the use of machine learning in quality assurance; computer-aided detection, including treatment planning and contouring; image-guided radiotherapy; respiratory motion management; and treatment response modeling and outcome prediction. The book will be invaluable for students and residents in medical physics and radiation oncology and will also appeal to more experienced practitioners and researchers and members of applied machine learning communities.