Radiomics and Radiogenomics

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Publisher : CRC Press
ISBN 13 : 1351208268
Total Pages : 420 pages
Book Rating : 4.3/5 (512 download)

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Book Synopsis Radiomics and Radiogenomics by : Ruijiang Li

Download or read book Radiomics and Radiogenomics written by Ruijiang Li and published by CRC Press. This book was released on 2019-07-09 with total page 420 pages. Available in PDF, EPUB and Kindle. Book 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

Big Data in Radiation Oncology

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Publisher : CRC Press
ISBN 13 : 1351801112
Total Pages : 355 pages
Book Rating : 4.3/5 (518 download)

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Book Synopsis Big Data in Radiation Oncology by : Jun Deng

Download or read book Big Data in Radiation Oncology written by Jun Deng and published by CRC Press. This book was released on 2019-03-07 with total page 355 pages. Available in PDF, EPUB and Kindle. Book 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 medical imaging, and is recipient of numerous awards, including the American Cancer Society Research Scholar Award, The Whitaker Foundation Grant Award, and a Max Planck Institute Fellowship.

Radiomics and Radiogenomics in Neuro-oncology

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Author :
Publisher : Springer Nature
ISBN 13 : 3030401243
Total Pages : 100 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Radiomics and Radiogenomics in Neuro-oncology by : Hassan Mohy-ud-Din

Download or read book Radiomics and Radiogenomics in Neuro-oncology written by Hassan Mohy-ud-Din and published by Springer Nature. This book was released on 2020-02-24 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the First International Workshop on Radiomics and Radiogenomics in Neuro-oncology, RNO-AI 2019, which was held in conjunction with MICCAI in Shenzhen, China, in October 2019. The 10 full papers presented in this volume were carefully reviewed and selected from 15 submissions. They deal with the development of tools that can automate the analysis and synthesis of neuro-oncologic imaging.

Multidisciplinary Computational Anatomy

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Publisher : Springer Nature
ISBN 13 : 9811643253
Total Pages : 370 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Multidisciplinary Computational Anatomy by : Makoto Hashizume

Download or read book Multidisciplinary Computational Anatomy written by Makoto Hashizume and published by Springer Nature. This book was released on 2021-11-30 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume thoroughly describes the fundamentals of a new multidisciplinary field of study that aims to deepen our understanding of the human body by combining medical image processing, mathematical analysis, and artificial intelligence. Multidisciplinary Computational Anatomy (MCA) offers an advanced diagnosis and therapeutic navigation system to help detect or predict human health problems from the micro-level to macro-level using a four-dimensional, dynamic approach to human anatomy: space, time, function, and pathology. Applying this dynamic and “living” approach in the clinical setting will promote better planning for – and more accurate, effective, and safe implementation of – medical management. Multidisciplinary Computational Anatomy will appeal not only to clinicians but also to a wide readership in various scientific fields such as basic science, engineering, image processing, and biomedical engineering. All chapters were written by respected specialists and feature abundant color illustrations. Moreover, the findings presented here share new insights into unresolved issues in the diagnosis and treatment of disease, and into the healthy human body.

Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology

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Publisher : Springer Nature
ISBN 13 : 3030668436
Total Pages : 319 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology by : Seyed Mostafa Kia

Download or read book Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology written by Seyed Mostafa Kia and published by Springer Nature. This book was released on 2020-12-30 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2020, and the Second International Workshop on Radiogenomics in Neuro-oncology, RNO-AI 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020.* For MLCN 2020, 18 papers out of 28 submissions were accepted for publication. The accepted papers present novel contributions in both developing new machine learning methods and applications of existing methods to solve challenging problems in clinical neuroimaging. For RNO-AI 2020, all 8 submissions were accepted for publication. They focus on addressing the problems of applying machine learning to large and multi-site clinical neuroimaging datasets. The workshop aimed to bring together experts in both machine learning and clinical neuroimaging to discuss and hopefully bridge the existing challenges of applied machine learning in clinical neuroscience. *The workshops were held virtually due to the COVID-19 pandemic.

Imaging in Clinical Oncology

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Publisher : Springer Science & Business Media
ISBN 13 : 8847053854
Total Pages : 553 pages
Book Rating : 4.8/5 (47 download)

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Book Synopsis Imaging in Clinical Oncology by : Athanasios D. Gouliamos

Download or read book Imaging in Clinical Oncology written by Athanasios D. Gouliamos and published by Springer Science & Business Media. This book was released on 2013-11-26 with total page 553 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 developments in higher field (3T) MR imaging and advanced MR techniques such as diffusion-weighted imaging, diffusion tensor imaging, perfusion-weighted imaging and spectroscopy. The major challenge of incorporating progress in quantitative imaging technology into radiotherapy treatment planning, guidance, and monitoring is also addressed. This book will assist in refining the treatment approach in various oncologic diseases and organ systems based on specific imaging features. It will be of value to radiologists, oncologists, and other medical professionals involved in the diagnosis and treatment of oncology patients. ​

Dual Energy CT: Applications in Head and Neck and Neurologic Imaging, An Issue of Neuroimaging Clinics of North America, E-Book

Download Dual Energy CT: Applications in Head and Neck and Neurologic Imaging, An Issue of Neuroimaging Clinics of North America, E-Book PDF Online Free

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Publisher : Elsevier Health Sciences
ISBN 13 : 0323532446
Total Pages : pages
Book Rating : 4.3/5 (235 download)

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Book Synopsis Dual Energy CT: Applications in Head and Neck and Neurologic Imaging, An Issue of Neuroimaging Clinics of North America, E-Book by : Reza Forghani

Download or read book Dual Energy CT: Applications in Head and Neck and Neurologic Imaging, An Issue of Neuroimaging Clinics of North America, E-Book written by Reza Forghani and published by Elsevier Health Sciences. This book was released on 2017-08-01 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This issue of Neuroimaging Clinics of North America focuses on Dual Energy CT: Applications in Neurologic, Head and Neck Imaging, and is edited by Drs. Reza Forghani and Hillary R. Kelly. Articles will include: Dual Energy CT: Physical Principles and Approaches to Scanning, Part 1; Dual Energy CT: Physical Principles and Approaches to Scanning, Part 2; Dual Energy CT Applications for Differentiation of Intracranial Hemorrhage, Calcium, and Iodine; Dual Energy CT Angiography of the Head and Neck and Related Applications; Miscellaneous and Emerging Applications of Dual Energy CT for the Evaluation of Intracranial Pathology; Applications of Dual Energy CT for the Evaluation of Head and Neck Squamous Cell Carcinoma; Dual Energy CT Applications for the Evaluation of Cervical Lymphadenopathy; Miscellaneous and Emerging Applications of Dual Energy CT for the Evaluation of Pathologies in the Head and Neck; Dual Energy CT Applications for the Evaluation of the Spine; Applications of Dual Energy CT for Artifact Reduction in the Head, Neck, and Spine; Advanced Tissue Characterization and Texture Analysis using Dual Energy CT: Horizons and Emerging Applications; and more!

Glioma Imaging

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Publisher : Springer Nature
ISBN 13 : 3030273598
Total Pages : 286 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Glioma Imaging by : Whitney B. Pope

Download or read book Glioma Imaging written by Whitney B. Pope and published by Springer Nature. This book was released on 2019-11-11 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers physiologic, metabolic and molecular imaging for gliomas. Gliomas are the most common primary brain tumors. Imaging is critical for glioma management because of its ability to noninvasively define the anatomic location and extent of disease. While conventional MRI is used to guide current treatments, multiple studies suggest molecular features of gliomas may be identified with noninvasive imaging, including physiologic MRI and amino acid positron emission tomography (PET). These advanced imaging techniques have the promise to help elucidate underlying tumor biology and provide important information that could be integrated into routine clinical practice. The text outlines current clinical practice including common scenarios in which imaging interpretation impacts patient management. Gaps in knowledge and potential areas of advancement based on the application of more experimental imaging techniques will be discussed. In reviewing this book, readers will learn: current standard imaging methodologies used in clinical practice for patients undergoing treatment for glioma and the implications of emerging treatment modalities including immunotherapy the theoretical basis for advanced imaging techniques including diffusion and perfusion MRI, MR spectroscopy, CEST and amino acid PET the relationship between imaging and molecular/genomic glioma features incorporated in the WHO 2016 classification update and the potential application of machine learning about the recently adopted and FDA approved standard brain tumor protocol for multicenter drug trials of the gaps in knowledge that impede optimal patient management and the cutting edge imaging techniques that could address these deficits

Machine Learning in Radiation Oncology

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Publisher : Springer
ISBN 13 : 3319183052
Total Pages : 336 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Machine Learning in Radiation Oncology by : Issam El Naqa

Download or read book Machine Learning in Radiation Oncology written by Issam El Naqa and published by Springer. This book was released on 2015-06-19 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: ​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.

Image-Guided and Adaptive Radiation Therapy

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Publisher : Lippincott Williams & Wilkins
ISBN 13 : 1469801876
Total Pages : 384 pages
Book Rating : 4.4/5 (698 download)

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Book Synopsis Image-Guided and Adaptive Radiation Therapy by : Robert D. Timmerman

Download or read book Image-Guided and Adaptive Radiation Therapy written by Robert D. Timmerman and published by Lippincott Williams & Wilkins. This book was released on 2012-10-09 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides detailed, state-of-the-art information and guidelines on the latest developments, innovations, and clinical procedures in image-guided and adaptive radiation therapy. The first section discusses key methodological and technological issues in image-guided and adaptive radiation therapy, including use of implanted fiducial markers, management of respiratory motion, image-guided stereotactic radiosurgery and stereotactic body radiation therapy, three-dimensional conformal brachytherapy, target definition and localization, and PET/CT and biologically conformal radiation therapy. The second section provides practical clinical information on image-guided adaptive radiation therapy for cancers at all common anatomic sites and for pediatric cancers. The third section offers practical guidelines for establishing an effective image-guided adaptive radiation therapy program.

Breast MRI

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Publisher : Academic Press
ISBN 13 : 0128227494
Total Pages : 646 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Breast MRI by : Katja Pinker

Download or read book Breast MRI written by Katja Pinker and published by Academic Press. This book was released on 2022-09-22 with total page 646 pages. Available in PDF, EPUB and Kindle. Book excerpt: Breast MRI: State of the Art and Future Directions provides a comprehensive overview of the current applications of breast MRI, including abbreviated MRI, as well as presenting technical recommendations, practical implementation and associated challenges in clinical routine. In addition, the book introduces novel MRI techniques, multimodality imaging, and advanced image processing coupled with AI, reviewing their potential for impeding and future clinical implementation. This book is a complete reference on state-of-the-art breast MRI methods suitable for MRI researchers, radiographers and clinicians. Breast cancer is one of the leading causes of death among women with early detection being the key to improved prognosis and survival. Magnetic resonance imaging (MRI) of the breast is undisputedly the most sensitive imaging method to detect cancer, with a higher detection rate than mammography, digital breast tomosynthesis, and ultrasound. Spans the whole spectrum of breast MRI, including basic imaging techniques, indications, interpretation, and the latest cutting-edge techniques Reviews multiparametric MRI and abbreviated protocols, providing an outlook on the future of this technique Discusses the predictive and prognostic value of MRI as well as the evolving field of radiomics/genomics and AI

Radiomics and Its Clinical Application

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Publisher : Academic Press
ISBN 13 : 0128181028
Total Pages : 302 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Radiomics and Its Clinical Application by : Jie Tian

Download or read book Radiomics and Its Clinical Application written by Jie Tian and published by Academic Press. This book was released on 2021-06-03 with total page 302 pages. Available in PDF, EPUB and Kindle. Book 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

The Great Prostate Hoax

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Publisher : Macmillan
ISBN 13 : 1137278749
Total Pages : 274 pages
Book Rating : 4.1/5 (372 download)

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Book Synopsis The Great Prostate Hoax by : Richard J. Ablin

Download or read book The Great Prostate Hoax written by Richard J. Ablin and published by Macmillan. This book was released on 2014-03-04 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reveals how fear-based and inaccurate testing is resulting in unnecessary high-risk surgeries, arguing that the PSA test was never intended for prostate cancer screening while sharing the stories of patients who have suffered from damaging procedures. 35,000 first printing.

Precision Radiation Oncology

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Publisher : Rutgers University Press
ISBN 13 : 0813592569
Total Pages : 329 pages
Book Rating : 4.8/5 (135 download)

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Book Synopsis Precision Radiation Oncology by : Bruce G. Haffty

Download or read book Precision Radiation Oncology written by Bruce G. Haffty and published by Rutgers University Press. This book was released on 2018-05-24 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: Precision medicine is a rapidly-evolving field in the management of cancer. The use of novel molecular or genetic signatures in local-regional management is still in its infancy. Precision Radiation Oncology demystifies this state-of-the-art research and technology. By describing current existing clinical and pathologic features, and focusing on the ability to improve outcomes in cancer using radiation therapy, this book discusses incorporating novel genomic- or biology-based biomarkers in the treatment of patients moving radiation oncology into precision/personalized medicine. Precision Radiation Oncology provides readers with an overview of the new developments of precision medicine in radiation oncology, further advancing the integration of new research findings into individualized radiation therapy and its clinical applications.

Imaging in Oncology

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Publisher : CRC Press
ISBN 13 : 1498716512
Total Pages : 1521 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Imaging in Oncology by : Janet Husband

Download or read book Imaging in Oncology written by Janet Husband and published by CRC Press. This book was released on 2016-04-19 with total page 1521 pages. Available in PDF, EPUB and Kindle. Book excerpt: Building on the foundation laid down by the first edition, the 1998 winner of the Royal Society's award for the Multi-author Textbook of the Year, Imaging in Oncology, Second Edition presents an extensively referenced, evidence-based analysis of the role of imaging in planning treatment. Emphasizing image interpretation for tumor staging and follow

Artificial Intelligence in Medicine

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Publisher : Academic Press
ISBN 13 : 0128212586
Total Pages : 570 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Artificial Intelligence in Medicine by : Lei Xing

Download or read book Artificial Intelligence in Medicine written by Lei Xing and published by Academic Press. This book was released on 2020-09-03 with total page 570 pages. Available in PDF, EPUB and Kindle. Book 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

Radiomics and Radiogenomics in Neuro-Oncology

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Author :
Publisher : Elsevier
ISBN 13 : 0443185085
Total Pages : 328 pages
Book Rating : 4.4/5 (431 download)

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Book Synopsis Radiomics and Radiogenomics in Neuro-Oncology by : Sanjay Saxena

Download or read book Radiomics and Radiogenomics in Neuro-Oncology written by Sanjay Saxena and published by Elsevier. This book was released on 2024-04-08 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: Radiomics and Radiogenomics in Neuro-Oncology: An Artificial Intelligence Paradigm, Volume One: Radiogenomics Flow Using Artificial Intelligence broadly encompasses the study of life-threatening brain and spinal cord malignancies, including primary lesions and those metastasizing to the central nervous system. Radiomics is an approach to medical imaging used to extract many quantitative imaging features using different data characterization algorithms, while radiogenomics, which has recently emerged as a novel mechanism in neuro-oncology research, focuses on the relationship of imaging phenotype and genetics of cancer. Sections in this book discuss several AI approaches that have been applied to conventional and advanced medical imaging data. These AI-based R-n-R tools have the potential to stratify patients into more precise initial diagnostic and therapeutic pathways and permit better dynamic treatment monitoring in this period of personalized medicine. While extremely promising, the clinical acceptance of R-n-R methods and approaches will primarily hinge on their resilience to non-standardization across imaging protocols and their capability to show reproducibility.