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Medical Image Processing For Improved Clinical Diagnosis


Medical Image Processing For Improved Clinical Diagnosis
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Medical Image Processing For Improved Clinical Diagnosis


Medical Image Processing For Improved Clinical Diagnosis
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Author : Swarnambiga, A.
language : en
Publisher: IGI Global
Release Date : 2018-08-31

Medical Image Processing For Improved Clinical Diagnosis written by Swarnambiga, A. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-31 with Medical categories.


In the medical field, there is a constant need to improve professionals’ abilities to provide prompt and accurate diagnoses. The use of image and pattern recognizing software may provide support to medical professionals and enhance their abilities to properly identify medical issues. Medical Image Processing for Improved Clinical Diagnosis provides emerging research exploring the theoretical and practical aspects of computer-based imaging and applications within healthcare and medicine. Featuring coverage on a broad range of topics such as biomedical imaging, pattern recognition, and medical diagnosis, this book is ideally designed for medical practitioners, students, researchers, and others in the medical and engineering fields seeking current research on the use of images to enhance the accuracy of medical prognosis.



Biomedical Image Processing


Biomedical Image Processing
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Author : Thomas Martin Deserno
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-03-01

Biomedical Image Processing written by Thomas Martin Deserno 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 2011-03-01 with Science categories.


In modern medicine, imaging is the most effective tool for diagnostics, treatment planning and therapy. Almost all modalities have went to directly digital acquisition techniques and processing of this image data have become an important option for health care in future. This book is written by a team of internationally recognized experts from all over the world. It provides a brief but complete overview on medical image processing and analysis highlighting recent advances that have been made in academics. Color figures are used extensively to illustrate the methods and help the reader to understand the complex topics.



Medical Image Processing


Medical Image Processing
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Author : Satya Prakash Yadav
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2024-09-23

Medical Image Processing written by Satya Prakash Yadav and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-23 with Science categories.


The goal of this book is to facilitate and stimulate cross-disciplinary research in the emerging paradigm of Medical Imaging. Especially this book is to focus on analysing and articulating proven and potential security measures to tightly secure Medical Image applications and services, which are being hosted and delivered through cloud infrastructures and platforms. This book will illustrate the prominent advancements in image processing and how intelligent image-processing techniques can be developed and deployed in the industrial market and for academicians. The readers will get to know all the right and relevant details to be empowered to successfully contribute to their personal and professional growth. The main focus of this book is to bring all the related technologies, novel findings, and managerial applications of Medical Imaging on a single platform to provide great readability, easy understanding, and smooth adaptability of various basic and advanced concepts to Researchers in Medical Engineers, Machine Learning and Data Analysis.



Research Anthology On Improving Medical Imaging Techniques For Analysis And Intervention


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.



Deep Learning For Medical Image Analysis


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



Handbook Of Medical Image Processing And Analysis


Handbook Of Medical Image Processing And Analysis
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Author : Isaac Bankman
language : en
Publisher: Elsevier
Release Date : 2008-12-24

Handbook Of Medical Image Processing And Analysis written by Isaac Bankman and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-12-24 with Computers categories.


The Handbook of Medical Image Processing and Analysis is a comprehensive compilation of concepts and techniques used for processing and analyzing medical images after they have been generated or digitized. The Handbook is organized into six sections that relate to the main functions: enhancement, segmentation, quantification, registration, visualization, and compression, storage and communication.The second edition is extensively revised and updated throughout, reflecting new technology and research, and includes new chapters on: higher order statistics for tissue segmentation; tumor growth modeling in oncological image analysis; analysis of cell nuclear features in fluorescence microscopy images; imaging and communication in medical and public health informatics; and dynamic mammogram retrieval from web-based image libraries.For those looking to explore advanced concepts and access essential information, this second edition of Handbook of Medical Image Processing and Analysis is an invaluable resource. It remains the most complete single volume reference for biomedical engineers, researchers, professionals and those working in medical imaging and medical image processing.Dr. Isaac N. Bankman is the supervisor of a group that specializes on imaging, laser and sensor systems, modeling, algorithms and testing at the Johns Hopkins University Applied Physics Laboratory. He received his BSc degree in Electrical Engineering from Bogazici University, Turkey, in 1977, the MSc degree in Electronics from University of Wales, Britain, in 1979, and a PhD in Biomedical Engineering from the Israel Institute of Technology, Israel, in 1985. He is a member of SPIE. - Includes contributions from internationally renowned authors from leading institutions - NEW! 35 of 56 chapters have been revised and updated. Additionally, five new chapters have been added on important topics incluling Nonlinear 3D Boundary Detection, Adaptive Algorithms for Cancer Cytological Diagnosis, Dynamic Mammogram Retrieval from Web-Based Image Libraries, Imaging and Communication in Health Informatics and Tumor Growth Modeling in Oncological Image Analysis. - Provides a complete collection of algorithms in computer processing of medical images - Contains over 60 pages of stunning, four-color images



Medical Image Analysis And Informatics


Medical Image Analysis And Informatics
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Author : Paulo Mazzoncini de Azevedo-Marques
language : en
Publisher: CRC Press
Release Date : 2017-11-23

Medical Image Analysis And Informatics written by Paulo Mazzoncini de Azevedo-Marques and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-23 with Technology & Engineering categories.


With the development of rapidly increasing medical imaging modalities and their applications, the need for computers and computing in image generation, processing, visualization, archival, transmission, modeling, and analysis has grown substantially. Computers are being integrated into almost every medical imaging system. Medical Image Analysis and Informatics demonstrates how quantitative analysis becomes possible by the application of computational procedures to medical images. Furthermore, it shows how quantitative and objective analysis facilitated by medical image informatics, CBIR, and CAD could lead to improved diagnosis by physicians. Whereas CAD has become a part of the clinical workflow in the detection of breast cancer with mammograms, it is not yet established in other applications. CBIR is an alternative and complementary approach for image retrieval based on measures derived from images, which could also facilitate CAD. This book shows how digital image processing techniques can assist in quantitative analysis of medical images, how pattern recognition and classification techniques can facilitate CAD, and how CAD systems can assist in achieving efficient diagnosis, in designing optimal treatment protocols, in analyzing the effects of or response to treatment, and in clinical management of various conditions. The book affirms that medical imaging, medical image analysis, medical image informatics, CBIR, and CAD are proven as well as essential techniques for health care.



Frontier Computing


Frontier Computing
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Author : Jason C. Hung
language : en
Publisher: Springer
Release Date : 2019-05-18

Frontier Computing written by Jason C. Hung and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-18 with Computers categories.


This book presents the proceedings of the 6th International Conference on Frontier Computing, held in Kuala Lumpur, Malaysia on July 3–6, 2018, and provides comprehensive coverage of the latest advances and trends in information technology, science and engineering. It addresses a number of broad themes, including communication networks, business intelligence and knowledge management, web intelligence, and related fields that inspire the development of information technology. The contributions cover a wide range of topics: database and data mining, networking and communications, web and internet of things, embedded systems, soft computing, social network analysis, security and privacy, optical communication, and ubiquitous/pervasive computing. Many of the papers outline promising future research directions. The book is a valuable resource for students, researchers and professionals, and also offers a useful reference guide for newcomers to the field.



Computer Aided Diagnosis Cad Tools And Applications For 3d Medical Imaging


Computer Aided Diagnosis Cad Tools And Applications For 3d Medical Imaging
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Author :
language : en
Publisher: Elsevier
Release Date : 2025-01-21

Computer Aided Diagnosis Cad Tools And Applications For 3d Medical Imaging written by and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-21 with Mathematics categories.


Computer-Aided Diagnosis (CAD) Tools and Applications for 3D Medical Imaging, Volume 136 in the Advances in Computers series, presents detailed coverage of innovations in computer hardware, software, theory, design, and applications. Chapters in this updated release include Introduction to Computer-aided diagnosis (CAD) tools and applications, Enhancement of three-dimensional medical images, Machine Learning Based Techniques for Computer Aided Diagnosis, AI-based image processing techniques for the automatic segmentation of human organs, Watermarking over medical images, Compressive Sensing for 3D Medical Image Compression, and more.Additional chapters cover Image encryption of medical images, Image Registration for 3D Medical Images, Texture-based computations for processing volumetric dental image, Language Processing in the Brain :an fMRI Study, Research challenges and emerging futuristic evolution for 3D medical image processing, Software based medical image analysis, and Automated 3D Visualization and Volume Estimation of Hepatic Structures for Treatment Planning of Hepatocellular Carcinoma. - Provides in-depth surveys and tutorials on new computer technology, with this release focusing on Computer-Aided Diagnosis - Presents well-known authors and researchers in the field - Includes volumes that are devoted to single themes or subfields of computer science



Workflow Optimisation For Radiological Imaging


Workflow Optimisation For Radiological Imaging
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Author : Jie-Zhi Cheng
language : en
Publisher: Frontiers Media SA
Release Date : 2024-10-28

Workflow Optimisation For Radiological Imaging written by Jie-Zhi Cheng 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 2024-10-28 with Medical categories.


Deep learning techniques have been shown to successfully address many medical image technical problems, e.g., segmentation, lesion detection, image registration, etc., better than ever. Accordingly, the development of artificial intelligence (AI) applications in medicine is continuously booming in these years for the attempt to improve various image-related medical procedures and workflows. The applications aim to improve the workup of image diagnosis, optimize the imaging workflow, offload the tedious medical tasks, and provide richer and more holistic cues for treatment planning. Specific prominent applications may range from lesion detections like pulmonary nodules and breast lesions, cancer risk prediction, triaging, abnormality quantification and measurement, disease staging, quality control, imaging improvement, surgical/therapy planning, etc. Thus far, many commercial AI applications have been incorporated into clinical practice in this decade. Meanwhile, many promising clinical validation studies were also published in recent years with a vast amount of evaluation data across multiple institutes and countries. With the further breakthrough of ChatGPT, the trend of AI for medicine seems to be unstoppable and will persist in advancing. However, there are still plenty of unsolved or partially solved medical problems with which AI techniques may help.