Multimodal Biomedical Imaging Techniques

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Multimodal Biomedical Imaging Techniques
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Author : Nandakumar Kalarikkal
language : en
Publisher: Springer
Release Date : 2025-04-13
Multimodal Biomedical Imaging Techniques written by Nandakumar Kalarikkal and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-13 with Science categories.
Multimodal Biomedical Imaging Techniques
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Author : Nandakumar Kalarikkal
language : en
Publisher: Springer Nature
Release Date : 2025-03-08
Multimodal Biomedical Imaging Techniques written by Nandakumar Kalarikkal and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-08 with Science categories.
This book highlights various aspects of multimodal imaging techniques. Innovations and progress in the field of advanced molecular imaging techniques such as Computed Tomography (CT), Magnetic Resonance Imaging (MRI), Positron Emission Tomography (PET), Single-Photon Emission Computed Tomography (SPECT), Fluorescence Imaging, Photoacoustic imaging(PAI), Fluorescence Molecular Tomography (FMT), Ultrasound (US), etc., are covered in this book. This book is an invaluable reference for students, professionals, and research scholars (primarily in the field of materials science, biomedical imaging, and nanoscience and nanotechnology) and also for those who want to nurture their scientific temper/skills in these areas.
Multi Modality Imaging
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Author : Mauren Abreu de Souza
language : en
Publisher: Springer
Release Date : 2018-11-29
Multi Modality Imaging written by Mauren Abreu de Souza and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-29 with Medical categories.
This book presents different approaches on multi-modality imaging with a focus on biomedical applications. Medical imaging can be divided into two categories: functional (related to physiological body measurements) and anatomical (structural) imaging modalities. In particular, this book covers imaging combinations coming from the usual popular modalities (such as the anatomical modalities, e.g. X-ray, CT and MRI), and it also includes some promising and new imaging modalities that are still being developed and improved (such as infrared thermography (IRT) and photoplethysmography imaging (PPGI)), implying potential approaches for innovative biomedical applications. Moreover, this book includes a variety of tools on computer vision, imaging processing, and computer graphics, which led to the generation and visualization of 3D models, making the most recent advances in this area possible. This is an ideal book for students and biomedical engineering researchers covering the biomedical imaging field.
Deep Neural Networks For Multimodal Imaging And Biomedical Applications
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Author : Suresh, Annamalai
language : en
Publisher: IGI Global
Release Date : 2020-06-26
Deep Neural Networks For Multimodal Imaging And Biomedical Applications written by Suresh, Annamalai and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-26 with Computers categories.
The field of healthcare is seeing a rapid expansion of technological advancement within current medical practices. The implementation of technologies including neural networks, multi-model imaging, genetic algorithms, and soft computing are assisting in predicting and identifying diseases, diagnosing cancer, and the examination of cells. Implementing these biomedical technologies remains a challenge for hospitals worldwide, creating a need for research on the specific applications of these computational techniques. Deep Neural Networks for Multimodal Imaging and Biomedical Applications provides research exploring the theoretical and practical aspects of emerging data computing methods and imaging techniques within healthcare and biomedicine. The publication provides a complete set of information in a single module starting from developing deep neural networks to predicting disease by employing multi-modal imaging. Featuring coverage on a broad range of topics such as prediction models, edge computing, and quantitative measurements, this book is ideally designed for researchers, academicians, physicians, IT consultants, medical software developers, practitioners, policymakers, scholars, and students seeking current research on biomedical advancements and developing computational methods in healthcare.
Big Data In Multimodal Medical Imaging
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Author : Ayman El-Baz
language : en
Publisher: CRC Press
Release Date : 2019-11-05
Big Data In Multimodal Medical Imaging written by Ayman El-Baz and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-05 with Computers categories.
There is an urgent need to develop and integrate new statistical, mathematical, visualization, and computational models with the ability to analyze Big Data in order to retrieve useful information to aid clinicians in accurately diagnosing and treating patients. The main focus of this book is to review and summarize state-of-the-art big data and deep learning approaches to analyze and integrate multiple data types for the creation of a decision matrix to aid clinicians in the early diagnosis and identification of high risk patients for human diseases and disorders. Leading researchers will contribute original research book chapters analyzing efforts to solve these important problems.
Advanced Imaging And Bio Techniques For Convergence Science
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Author : Jun Ki Kim
language : en
Publisher: Springer Nature
Release Date : 2021-04-08
Advanced Imaging And Bio Techniques For Convergence Science written by Jun Ki Kim and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-08 with Medical categories.
This book is a wide-ranging guide to advanced imaging techniques and related methods with important applications in translational research or convergence science as progress is made toward a new era in integrative healthcare. Conventional and advanced microscopic imaging techniques, including both non-fluorescent (i.e., label-free) and fluorescent methods, have to date provided researchers with specific and quantitative information about molecules, cells, and tissues. Now, however, the different imaging techniques can be correlated with each other and multimodal methods developed to simultaneously obtain diverse and complementary information. In addition, the latest advanced imaging techniques can be integrated with non-imaging techniques such as mass spectroscopic methods, genome editing, organic/inorganic probe synthesis, nanomedicine, and drug discovery. The book will be of high value for researchers in the biological and biomedical sciences or convergence science who need to use these multidisciplinary and integrated techniques or are involved in developing new analytical methods focused on convergence science.
Biomedical Optical Imaging Technologies
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Author : Rongguang Liang
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-09-21
Biomedical Optical Imaging Technologies written by Rongguang Liang 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 2012-09-21 with Science categories.
This book provides an introduction to design of biomedical optical imaging technologies and their applications. The main topics include: fluorescence imaging, confocal imaging, micro-endoscope, polarization imaging, hyperspectral imaging, OCT imaging, multimodal imaging and spectroscopic systems. Each chapter is written by the world leaders of the respective fields, and will cover: principles and limitations of optical imaging technology, system design and practical implementation for one or two specific applications, including design guidelines, system configuration, optical design, component requirements and selection, system optimization and design examples, recent advances and applications in biomedical researches and clinical imaging. This book serves as a reference for students and researchers in optics and biomedical engineering.
Medical Imaging Concepts Methodologies Tools And Applications
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Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2016-07-18
Medical Imaging Concepts Methodologies Tools And Applications written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-18 with Medical categories.
Medical imaging has transformed the ways in which various conditions, injuries, and diseases are identified, monitored, and treated. As various types of digital visual representations continue to advance and improve, new opportunities for their use in medical practice will likewise evolve. Medical Imaging: Concepts, Methodologies, Tools, and Applications presents a compendium of research on digital imaging technologies in a variety of healthcare settings. This multi-volume work contains practical examples of implementation, emerging trends, case studies, and technological innovations essential for using imaging technologies for making medical decisions. This comprehensive publication is an essential resource for medical practitioners, digital imaging technologists, researchers, and medical students.
Research Anthology On Improving Medical Imaging Techniques For Analysis And Intervention
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Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2022-09-09
Research Anthology On Improving Medical Imaging Techniques For Analysis And Intervention written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-09 with Medical categories.
Medical imaging provides medical professionals the unique ability to investigate and diagnose injuries and illnesses without being intrusive. With the surge of technological advancement in recent years, the practice of medical imaging has only been improved through these technologies and procedures. It is essential to examine these innovations in medical imaging to implement and improve the practice around the world. The Research Anthology on Improving Medical Imaging Techniques for Analysis and Intervention investigates and presents the recent innovations, procedures, and technologies implemented in medical imaging. Covering topics such as automatic detection, simulation in medical education, and neural networks, this major reference work is an excellent resource for radiologists, medical professionals, hospital administrators, medical educators and students, librarians, researchers, and academicians.
Advances In Computational Techniques For Biomedical Image Analysis
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Author : Deepika Koundal
language : en
Publisher: Academic Press
Release Date : 2020-05-28
Advances In Computational Techniques For Biomedical Image Analysis written by Deepika Koundal and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-28 with Computers categories.
Advances in Computational Techniques for Biomedical Image Analysis: Methods and Applications focuses on post-acquisition challenges such as image enhancement, detection of edges and objects, analysis of shape, quantification of texture and sharpness, and pattern analysis. It discusses the archiving and transfer of images, presents a selection of techniques for the enhancement of contrast and edges, for noise reduction and for edge-preserving smoothing. It examines various feature detection and segmentation techniques, together with methods for computing a registration or normalization transformation. Advances in Computational Techniques for Biomedical Image Analysis: Method and Applications is ideal for researchers and post graduate students developing systems and tools for health-care systems. - Covers various challenges and common research issues related to biomedical image analysis - Describes advanced computational approaches for biomedical image analysis - Shows how algorithms are applied to a broad range of application areas, including Chest X-ray, breast CAD, lung and chest, microscopy and pathology, etc. - Explores a range of computational algorithms and techniques, such as neural networks, fuzzy sets, and evolutionary optimization - Explores cloud based medical imaging together with medical imaging security and forensics