Advances In Computational Techniques For Biomedical Image Analysis

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Advances in Computational Techniques for Biomedical Image Analysis

Author : Deepika Koundal
Publisher : Academic Press
ISBN 13 : 0128204117
Total Pages : 324 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Advances in Computational Techniques for Biomedical Image Analysis by : Deepika Koundal

Download or read book Advances in Computational Techniques for Biomedical Image Analysis written by Deepika Koundal and published by Academic Press. This book was released on 2020-05-28 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Computational Techniques for Dental Image Analysis

Author : Kamalanand, K.
Publisher : IGI Global
ISBN 13 : 1522562443
Total Pages : 358 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Computational Techniques for Dental Image Analysis by : Kamalanand, K.

Download or read book Computational Techniques for Dental Image Analysis written by Kamalanand, K. and published by IGI Global. This book was released on 2018-10-30 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the technology innovations dentistry has witnessed in all its branches over the past three decades, the need for more precise diagnostic tools and advanced imaging methods has become mandatory across the industry. Recent advancements to imaging systems are playing an important role in efficient diagnoses, treatments, and surgeries. Computational Techniques for Dental Image Analysis provides innovative insights into computerized methods for automated analysis. The research presented within this publication explores pattern recognition, oral pathologies, and diagnostic processing. It is designed for dentists, professionals, medical educators, medical imaging technicians, researchers, oral surgeons, and students, and covers topics centered on easier assessment of complex cranio-facial tissues and the accurate diagnosis of various lesions at early stages.

Medical Image Analysis

Author : Alejandro Frangi
Publisher : Academic Press
ISBN 13 : 0128136588
Total Pages : 700 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Medical Image Analysis by : Alejandro Frangi

Download or read book Medical Image Analysis written by Alejandro Frangi and published by Academic Press. This book was released on 2023-09-20 with total page 700 pages. Available in PDF, EPUB and Kindle. Book excerpt: Medical Image Analysis presents practical knowledge on medical image computing and analysis as written by top educators and experts. This text is a modern, practical, self-contained reference that conveys a mix of fundamental methodological concepts within different medical domains. Sections cover core representations and properties of digital images and image enhancement techniques, advanced image computing methods (including segmentation, registration, motion and shape analysis), machine learning, how medical image computing (MIC) is used in clinical and medical research, and how to identify alternative strategies and employ software tools to solve typical problems in MIC. - An authoritative presentation of key concepts and methods from experts in the field - Sections clearly explaining key methodological principles within relevant medical applications - Self-contained chapters enable the text to be used on courses with differing structures - A representative selection of modern topics and techniques in medical image computing - Focus on medical image computing as an enabling technology to tackle unmet clinical needs - Presentation of traditional and machine learning approaches to medical image computing

Computational Intelligence in Medical Imaging

Author : G. Schaefer
Publisher : CRC Press
ISBN 13 : 1420060619
Total Pages : 512 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Computational Intelligence in Medical Imaging by : G. Schaefer

Download or read book Computational Intelligence in Medical Imaging written by G. Schaefer and published by CRC Press. This book was released on 2009-03-24 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: CI Techniques & Algorithms for a Variety of Medical Imaging SituationsDocuments recent advances and stimulates further researchA compilation of the latest trends in the field, Computational Intelligence in Medical Imaging: Techniques and Applications explores how intelligent computing can bring enormous benefit to existing technology in medical

Soft Computing Based Medical Image Analysis

Author : Nilanjan Dey
Publisher : Academic Press
ISBN 13 : 0128131748
Total Pages : 292 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Soft Computing Based Medical Image Analysis by : Nilanjan Dey

Download or read book Soft Computing Based Medical Image Analysis written by Nilanjan Dey and published by Academic Press. This book was released on 2018-01-18 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: Soft Computing Based Medical Image Analysis presents the foremost techniques of soft computing in medical image analysis and processing. It includes image enhancement, segmentation, classification-based soft computing, and their application in diagnostic imaging, as well as an extensive background for the development of intelligent systems based on soft computing used in medical image analysis and processing. The book introduces the theory and concepts of digital image analysis and processing based on soft computing with real-world medical imaging applications. Comparative studies for soft computing based medical imaging techniques and traditional approaches in medicine are addressed, providing flexible and sophisticated application-oriented solutions. - Covers numerous soft computing approaches, including fuzzy logic, neural networks, evolutionary computing, rough sets and Swarm intelligence - Presents transverse research in soft computing formation from various engineering and industrial sectors in the medical domain - Highlights challenges and the future scope for soft computing based medical analysis and processing techniques

Advances in Computerized Analysis in Clinical and Medical Imaging

Author : J Dinesh Peter
Publisher : CRC Press
ISBN 13 : 0429820496
Total Pages : 264 pages
Book Rating : 4.4/5 (298 download)

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Book Synopsis Advances in Computerized Analysis in Clinical and Medical Imaging by : J Dinesh Peter

Download or read book Advances in Computerized Analysis in Clinical and Medical Imaging written by J Dinesh Peter and published by CRC Press. This book was released on 2019-10-28 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Computerized Analysis in Clinical and Medical Imaging book is devoted for spreading of knowledge through the publication of scholarly research, primarily in the fields of clinical & medical imaging. The types of chapters consented include those that cover the development and implementation of algorithms and strategies based on the use of geometrical, statistical, physical, functional to solve the following types of problems, using medical image datasets: visualization, feature extraction, segmentation, image-guided surgery, representation of pictorial data, statistical shape analysis, computational physiology and telemedicine with medical images. This book highlights annotations for all the medical and clinical imaging researchers’ a fundamental advances of clinical and medical image analysis techniques. This book will be a good source for all the medical imaging and clinical research professionals, outstanding scientists, and educators from all around the world for network of knowledge sharing. This book will comprise high quality disseminations of new ideas, technology focus, research results and discussions on the evolution of Clinical and Medical image analysis techniques for the benefit of both scientific and industrial developments. Features: Research aspects in clinical and medical image processing Human Computer Interaction and interface in imaging diagnostics Intelligent Imaging Systems for effective analysis using machine learning algorithms Clinical and Scientific Evaluation of Imaging Studies Computer-aided disease detection and diagnosis Clinical evaluations of new technologies Mobility and assistive devices for challenged and elderly people This book serves as a reference book for researchers and doctoral students in the clinical and medical imaging domain including radiologists. Industries that manufacture imaging modality systems and develop optical systems would be especially interested in the challenges and solutions provided in the book. Professionals and practitioners in the medical and clinical imaging may be benefited directly from authors’ experiences.

Biomedical Image Analysis Recipes in MATLAB

Author : Constantino Carlos Reyes-Aldasoro
Publisher : John Wiley & Sons
ISBN 13 : 1118657551
Total Pages : 416 pages
Book Rating : 4.1/5 (186 download)

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Book Synopsis Biomedical Image Analysis Recipes in MATLAB by : Constantino Carlos Reyes-Aldasoro

Download or read book Biomedical Image Analysis Recipes in MATLAB written by Constantino Carlos Reyes-Aldasoro and published by John Wiley & Sons. This book was released on 2015-06-22 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: As its title suggests, this innovative book has been written for life scientists needing to analyse their data sets, and programmers, wanting a better understanding of the types of experimental images life scientists investigate on a regular basis. Each chapter presents one self-contained biomedical experiment to be analysed. Part I of the book presents its two basic ingredients: essential concepts of image analysis and Matlab. In Part II, algorithms and techniques are shown as series of "recipes" or solved examples that show how specific techniques are applied to a biomedical experiments like Western Blots, Histology, Scratch Wound Assays and Fluoresence. Each recipe begins with simple techniques that gradually advance in complexity. Part III presents some advanced techniques for the generation of publication quality figures. The book does not assume any computational or mathematical expertise. A practical, clearly-written introduction to biomedical image analysis that provides the tools for life scientists and engineers to use when solving problems in their own laboratories. Presents the basic concepts of MATLAB software and uses it throughout to show how it can execute flexible and powerful image analysis programs tailored to the specific needs of the problem. Within the context of four biomedical cases, it shows algorithms and techniques as series of "recipes", or solved examples that show how a particular technique is applied in a specific experiment. Companion website containing example datasets, MATLAB files and figures from the book.

Advanced Machine Vision Paradigms for Medical Image Analysis

Author : Tapan K. Gandhi
Publisher : Academic Press
ISBN 13 : 0128192968
Total Pages : 310 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Advanced Machine Vision Paradigms for Medical Image Analysis by : Tapan K. Gandhi

Download or read book Advanced Machine Vision Paradigms for Medical Image Analysis written by Tapan K. Gandhi and published by Academic Press. This book was released on 2020-08-11 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer vision and machine intelligence paradigms are prominent in the domain of medical image applications, including computer assisted diagnosis, image guided radiation therapy, landmark detection, imaging genomics, and brain connectomics. Medical image analysis and understanding are daunting tasks owing to the massive influx of multi-modal medical image data generated during routine clinal practice. Advanced computer vision and machine intelligence approaches have been employed in recent years in the field of image processing and computer vision. However, due to the unstructured nature of medical imaging data and the volume of data produced during routine clinical processes, the applicability of these meta-heuristic algorithms remains to be investigated. Advanced Machine Vision Paradigms for Medical Image Analysis presents an overview of how medical imaging data can be analyzed to provide better diagnosis and treatment of disease. Computer vision techniques can explore texture, shape, contour and prior knowledge along with contextual information, from image sequence and 3D/4D information which helps with better human understanding. Many powerful tools have been developed through image segmentation, machine learning, pattern classification, tracking, and reconstruction to surface much needed quantitative information not easily available through the analysis of trained human specialists. The aim of the book is for medical imaging professionals to acquire and interpret the data, and for computer vision professionals to learn how to provide enhanced medical information by using computer vision techniques. The ultimate objective is to benefit patients without adding to already high healthcare costs. - Explores major emerging trends in technology which are supporting the current advancement of medical image analysis with the help of computational intelligence - Highlights the advancement of conventional approaches in the field of medical image processing - Investigates novel techniques and reviews the state-of-the-art in the areas of machine learning, computer vision, soft computing techniques, as well as their applications in medical image analysis

Principles And Advanced Methods In Medical Imaging And Image Analysis

Author : Atam P Dhawan
Publisher : World Scientific
ISBN 13 : 9814476064
Total Pages : 869 pages
Book Rating : 4.8/5 (144 download)

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Book Synopsis Principles And Advanced Methods In Medical Imaging And Image Analysis by : Atam P Dhawan

Download or read book Principles And Advanced Methods In Medical Imaging And Image Analysis written by Atam P Dhawan and published by World Scientific. This book was released on 2008-03-17 with total page 869 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computerized medical imaging and image analysis have been the central focus in diagnostic radiology. They provide revolutionalizing tools for the visualization of physiology as well as the understanding and quantitative measurement of physiological parameters. This book offers in-depth knowledge of medical imaging instrumentation and techniques as well as multidimensional image analysis and classification methods for research, education, and applications in computer-aided diagnostic radiology. Internationally renowned researchers and experts in their respective areas provide detailed descriptions of the basic foundation as well as the most recent developments in medical imaging, thus helping readers to understand theoretical and advanced concepts for important research and clinical applications.

Handbook of Research on Advanced Techniques in Diagnostic Imaging and Biomedical Applications

Author : Exarchos, Themis P.
Publisher : IGI Global
ISBN 13 : 1605663158
Total Pages : 597 pages
Book Rating : 4.6/5 (56 download)

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Book Synopsis Handbook of Research on Advanced Techniques in Diagnostic Imaging and Biomedical Applications by : Exarchos, Themis P.

Download or read book Handbook of Research on Advanced Techniques in Diagnostic Imaging and Biomedical Applications written by Exarchos, Themis P. and published by IGI Global. This book was released on 2009-04-30 with total page 597 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book includes state-of-the-art methodologies that introduce biomedical imaging in decision support systems and their applications in clinical practice"--Provided by publisher.

Intelligent Computing Techniques in Biomedical Imaging

Author : Bikesh Kumar Singh
Publisher : Elsevier
ISBN 13 : 0443160007
Total Pages : 320 pages
Book Rating : 4.4/5 (431 download)

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Book Synopsis Intelligent Computing Techniques in Biomedical Imaging by : Bikesh Kumar Singh

Download or read book Intelligent Computing Techniques in Biomedical Imaging written by Bikesh Kumar Singh and published by Elsevier. This book was released on 2024-08-23 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Computing Techniques in Biomedical Imaging provides comprehensive and state-of-the-art applications of Computational Intelligence techniques used in biomedical image analysis for disease detection and diagnosis. The book offers readers a stepwise approach from fundamental to advanced techniques using real-life medical examples and tutorials. The editors have divided the book into five sections, from prerequisites to case studies.Section I presents the prerequisites, where the reader will find fundamental concepts needed for advanced topics covered later in this book. This primarily includes a thorough introduction to Artificial Intelligence, probability theory and statistical learning. The second section covers Computational Intelligence methods for medical image acquisition and pre-processing for biomedical images. In this section, readers will find AI applied to conventional and advanced biomedical imaging modalities such as X-rays, CT scan, MRI, Mammography, Ultrasound, MR Spectroscopy, Positron Emission Tomography (PET), Ultrasound Elastography, Optical Coherence Tomography (OCT), Functional MRI, Hybrid Modalities, as well as pre-processing topics such as medical image enhancement, segmentation, and compression. Section III covers description and representation of medical images. Here the reader will find various categories of features and their relevance in different medical imaging tasks. This section also discusses feature selection techniques based on filter method, wrapper method, embedded method, and more.The fourth section covers Computational Intelligence techniques used for medical image classification, including Artificial Neural Networks, Support Vector Machines, Decision Trees, Nearest Neighbor Classifiers, Random Forest, clustering, extreme learning, Convolution Neural Networks (CNN), and Recurrent Neural Networks. This section also includes a discussion of computer aided diagnosis and performance evaluation in radiology.The final section of Intelligent Computing Techniques in Biomedical Imaging provides readers with a wealth of real-world Case Studies for Computational Intelligence techniques in applications such as neuro-developmental disorders, brain tumor detection, breast cancer detection, bone fracture detection, pulmonary imaging, thyroid disorders, imaging technologies in dentistry, diagnosis of ocular diseases, cardiovascular imaging, and multimodal imaging. - Introduces Fourier theory and signal analysis tailored to applications in optical communications devices and systems - Provides strong theoretical background, making it a ready resource for researchers and advanced students in optical communication and optical signal processing - Starts from basic theory and then develops descriptions of useful applications

Modern Computational Intelligence Methods for the Interpretation of Medical Images

Author : Ryszard Tadeusiewicz
Publisher : Springer Science & Business Media
ISBN 13 : 3540753990
Total Pages : 210 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Modern Computational Intelligence Methods for the Interpretation of Medical Images by : Ryszard Tadeusiewicz

Download or read book Modern Computational Intelligence Methods for the Interpretation of Medical Images written by Ryszard Tadeusiewicz and published by Springer Science & Business Media. This book was released on 2008-01-03 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work by two accomplished Polish researchers provides medical technicians and researchers alike with detailed descriptions of up-to-date methods used for computer processing and interpretation of medical images. The broad scope of the book takes in images acquisition, storing with compression, processing, analysis, recognition and also its automatic understanding. The introduction provides a general overview of the computer vision methods designed for medical images.

Recent Advances in Computational Methods and Clinical Applications for Spine Imaging

Author : Jianhua Yao
Publisher : Springer
ISBN 13 : 3319141481
Total Pages : 259 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Recent Advances in Computational Methods and Clinical Applications for Spine Imaging by : Jianhua Yao

Download or read book Recent Advances in Computational Methods and Clinical Applications for Spine Imaging written by Jianhua Yao and published by Springer. This book was released on 2015-02-09 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the full papers presented at the MICCAI 2014 workshop on Computational Methods and Clinical Applications for Spine Imaging. The workshop brought together scientists and clinicians in the field of computational spine imaging. The chapters included in this book present and discuss the new advances and challenges in these fields, using several methods and techniques in order to address more efficiently different and timely applications involving signal and image acquisition, image processing and analysis, image segmentation, image registration and fusion, computer simulation, image based modeling, simulation and surgical planning, image guided robot assisted surgical and image based diagnosis. The book also includes papers and reports from the first challenge on vertebra segmentation held at the workshop.

Deep Learning in Medical Image Analysis

Author : Gobert Lee
Publisher : Springer Nature
ISBN 13 : 3030331288
Total Pages : 184 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Deep Learning in Medical Image Analysis by : Gobert Lee

Download or read book Deep Learning in Medical Image Analysis written by Gobert Lee and published by Springer Nature. This book was released on 2020-02-06 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents cutting-edge research and applications of deep learning in a broad range of medical imaging scenarios, such as computer-aided diagnosis, image segmentation, tissue recognition and classification, and other areas of medical and healthcare problems. Each of its chapters covers a topic in depth, ranging from medical image synthesis and techniques for muskuloskeletal analysis to diagnostic tools for breast lesions on digital mammograms and glaucoma on retinal fundus images. It also provides an overview of deep learning in medical image analysis and highlights issues and challenges encountered by researchers and clinicians, surveying and discussing practical approaches in general and in the context of specific problems. Academics, clinical and industry researchers, as well as young researchers and graduate students in medical imaging, computer-aided-diagnosis, biomedical engineering and computer vision will find this book a great reference and very useful learning resource.

Biomedical Image Processing

Author : Thomas Martin Deserno
Publisher : Springer Science & Business Media
ISBN 13 : 3642158161
Total Pages : 617 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Biomedical Image Processing by : Thomas Martin Deserno

Download or read book Biomedical Image Processing written by Thomas Martin Deserno and published by Springer Science & Business Media. This book was released on 2011-03-01 with total page 617 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Computational Analysis and Deep Learning for Medical Care

Author : Amit Kumar Tyagi
Publisher : John Wiley & Sons
ISBN 13 : 1119785723
Total Pages : 532 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Computational Analysis and Deep Learning for Medical Care by : Amit Kumar Tyagi

Download or read book Computational Analysis and Deep Learning for Medical Care written by Amit Kumar Tyagi and published by John Wiley & Sons. This book was released on 2021-08-24 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book details deep learning models like ANN, RNN, LSTM, in many industrial sectors such as transportation, healthcare, military, agriculture, with valid and effective results, which will help researchers find solutions to their deep learning research problems. We have entered the era of smart world devices, where robots or machines are being used in most applications to solve real-world problems. These smart machines/devices reduce the burden on doctors, which in turn make their lives easier and the lives of their patients better, thereby increasing patient longevity, which is the ultimate goal of computer vision. Therefore, the goal in writing this book is to attempt to provide complete information on reliable deep learning models required for e-healthcare applications. Ways in which deep learning can enhance healthcare images or text data for making useful decisions are discussed. Also presented are reliable deep learning models, such as neural networks, convolutional neural networks, backpropagation, and recurrent neural networks, which are increasingly being used in medical image processing, including for colorization of black and white X-ray images, automatic machine translation images, object classification in photographs/images (CT scans), character or useful generation (ECG), image caption generation, etc. Hence, reliable deep learning methods for the perception or production of better results are a necessity for highly effective e-healthcare applications. Currently, the most difficult data-related problem that needs to be solved concerns the rapid increase of data occurring each day via billions of smart devices. To address the growing amount of data in healthcare applications, challenges such as not having standard tools, efficient algorithms, and a sufficient number of skilled data scientists need to be overcome. Hence, there is growing interest in investigating deep learning models and their use in e-healthcare applications. Audience Researchers in artificial intelligence, big data, computer science, and electronic engineering, as well as industry engineers in transportation, healthcare, biomedicine, military, agriculture.

Computer Vision for Biomedical Image Applications

Author : Yanxi Liu
Publisher : Springer Science & Business Media
ISBN 13 : 3540294112
Total Pages : 577 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Computer Vision for Biomedical Image Applications by : Yanxi Liu

Download or read book Computer Vision for Biomedical Image Applications written by Yanxi Liu and published by Springer Science & Business Media. This book was released on 2005-10-10 with total page 577 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the First International Workshop on Computer Vision for Biomedical Image Applications: Current Techniques and Future Trends, CVBIA 2005, held in Beijing, China, in October 2005 within the scope of ICCV 20.