Computer Vision For Microscopy Image Analysis

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Computer Vision for Microscopy Image Analysis

Author : Mei Chen
Publisher : Academic Press
ISBN 13 : 0128149736
Total Pages : 230 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Computer Vision for Microscopy Image Analysis by : Mei Chen

Download or read book Computer Vision for Microscopy Image Analysis written by Mei Chen and published by Academic Press. This book was released on 2020-12-01 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are you a computer scientist working on image analysis? Are you a biologist seeking tools to process the microscopy data from image-based experiments? Computer Vision for Microscopy Image Analysis provides a comprehensive and in-depth discussion of modern computer vision techniques, in particular deep learning, for microscopy image analysis that will advance your efforts. Progress in imaging techniques has enabled the acquisition of large volumes of microscopy data and made it possible to conduct large-scale, image-based experiments for biomedical discovery. The main challenge and bottleneck in such experiments is the conversion of "big visual data" into interpretable information. Visual analysis of large-scale microscopy data is a daunting task. Computer vision has the potential to automate this task. One key advantage is that computers perform analysis more reproducibly and less subjectively than human annotators. Moreover, high-throughput microscopy calls for effective and efficient techniques as there are not enough human resources to advance science by manual annotation. This book articulates the strong need for biologists and computer vision experts to collaborate to overcome the limits of human visual perception, and devotes a chapter each to the major steps in analyzing microscopy images, such as detection and segmentation, classification, tracking, and event detection. Discover how computer vision can automate and enhance the human assessment of microscopy images for discovery Grasp the state-of-the-art approaches, especially deep neural networks Learn where to obtain open-source datasets and software to jumpstart his or her own investigation

Digital Image Processing and Analysis

Author : Scott E Umbaugh
Publisher : CRC Press
ISBN 13 : 1000788512
Total Pages : 441 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Digital Image Processing and Analysis by : Scott E Umbaugh

Download or read book Digital Image Processing and Analysis written by Scott E Umbaugh and published by CRC Press. This book was released on 2023-01-18 with total page 441 pages. Available in PDF, EPUB and Kindle. Book excerpt: 1) Learn how to develop computer vision application algorithms 2) Learn to use software tools for analysis and development 3) Learn underlying processes need for image analysis 4) Learn concepts so that the reader can develop their own algorithms 5) Software tools provided

Computer-Assisted Microscopy

Author : John C. Russ
Publisher : Springer Science & Business Media
ISBN 13 : 1461305632
Total Pages : 461 pages
Book Rating : 4.4/5 (613 download)

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Book Synopsis Computer-Assisted Microscopy by : John C. Russ

Download or read book Computer-Assisted Microscopy written by John C. Russ and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 461 pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of computer-based image analysis systems for all kinds of images, but especially for microscope images, has become increasingly widespread in recent years, as computer power has increased and costs have dropped. Software to perform each of the various tasks described in this book exists now, and without doubt additional algorithms to accomplish these same things more efficiently, and to perform new kinds of image processing, feature discrimination and measurement, will continue to be developed. This is likely to be true particularly in the field of three-dimensional imaging, since new microscopy methods are beginning to be used which can produce such data. It is not the intent of this book to train programmers who will assemble their own computer systems and write their own programs. Most users require only the barest of knowledge about how to use the computer, but the greater their understanding of the various image analysis operations which are possible, their advantages and limitations, the greater the likelihood of success in their application. Likewise, the book assumes little in the way of a mathematical background, but the researcher with a secure knowledge of appropriate statistical tests will find it easier to put some of these methods into real use, and have confidence in the results, than one who has less background and experience. Supplementary texts and courses in statistics, microscopy, and specimen preparation are recommended as necessary.

Computer Imaging

Author : Scott E Umbaugh
Publisher : CRC Press
ISBN 13 : 9780849329197
Total Pages : 696 pages
Book Rating : 4.3/5 (291 download)

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Book Synopsis Computer Imaging by : Scott E Umbaugh

Download or read book Computer Imaging written by Scott E Umbaugh and published by CRC Press. This book was released on 2005-01-27 with total page 696 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer Imaging: Digital Image Analysis and Processing brings together analysis and processing in a unified framework, providing a valuable foundation for understanding both computer vision and image processing applications. Taking an engineering approach, the text integrates theory with a conceptual and application-oriented style, allowing you to immediately understand how each topic fits into the overall structure of practical application development. Divided into five major parts, the book begins by introducing the concepts and definitions necessary to understand computer imaging. The second part describes image analysis and provides the tools, concepts, and models required to analyze digital images and develop computer vision applications. Part III discusses application areas for the processing of images, emphasizing human visual perception. Part IV delivers the information required to apply a CVIPtools environment to algorithm development. The text concludes with appendices that provide supplemental imaging information and assist with the programming exercises found in each chapter. The author presents topics as needed for understanding each practical imaging model being studied. This motivates the reader to master the topics and also makes the book useful as a reference. The CVIPtools software integrated throughout the book, now in a new Windows version, provides practical examples and encourages you to conduct additional exploration via tutorials and programming exercises provided with each chapter.

Image Technology

Author : Jorge L.C. Sanz
Publisher : Springer Science & Business Media
ISBN 13 : 3642582885
Total Pages : 758 pages
Book Rating : 4.6/5 (425 download)

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Book Synopsis Image Technology by : Jorge L.C. Sanz

Download or read book Image Technology written by Jorge L.C. Sanz and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 758 pages. Available in PDF, EPUB and Kindle. Book excerpt: Image processing and machine vision are fields of renewed interest in the commercial market. People in industry, managers, and technical engineers are looking for new technologies to move into the market. Many of the most promising developments are taking place in the field of image processing and its applications. The book offers a broad coverage of advances in a range of topics in image processing and machine vision.

Medical Optical Imaging and Virtual Microscopy Image Analysis

Author : Yuankai Huo
Publisher : Springer Nature
ISBN 13 : 3031169611
Total Pages : 200 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Medical Optical Imaging and Virtual Microscopy Image Analysis by : Yuankai Huo

Download or read book Medical Optical Imaging and Virtual Microscopy Image Analysis written by Yuankai Huo and published by Springer Nature. This book was released on 2022-09-16 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 1st International Workshop on Medical Optical Imaging and Virtual Microscopy Image Analysis, MOVI 2022, held in conjunction with the 25th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2022, in Singapore, Singapore, in September 2022. The 18 papers presented at MOVI 2022 were carefully reviewed and selected from 25 submissions. The objective of the MOVI workshop is to promote novel scalable and resource-efficient medical image analysis algorithms for high-dimensional image data analy-sis, from optical imaging to virtual microscopy.

Microscope Image Processing

Author : Qiang Wu
Publisher : Elsevier
ISBN 13 : 9780080558547
Total Pages : 576 pages
Book Rating : 4.5/5 (585 download)

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Book Synopsis Microscope Image Processing by : Qiang Wu

Download or read book Microscope Image Processing written by Qiang Wu and published by Elsevier. This book was released on 2010-07-27 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital image processing, an integral part of microscopy, is increasingly important to the fields of medicine and scientific research. This book provides a unique one-stop reference on the theory, technique, and applications of this technology. Written by leading experts in the field, this book presents a unique practical perspective of state-of-the-art microscope image processing and the development of specialized algorithms. It contains in-depth analysis of methods coupled with the results of specific real-world experiments. Microscope Image Processing covers image digitization and display, object measurement and classification, autofocusing, and structured illumination. Key Features: Detailed descriptions of many leading-edge methods and algorithms In-depth analysis of the method and experimental results, taken from real-life examples Emphasis on computational and algorithmic aspects of microscope image processing Advanced material on geometric, morphological, and wavelet image processing, fluorescence, three-dimensional and time-lapse microscopy, microscope image enhancement, MultiSpectral imaging, and image data management This book is of interest to all scientists, engineers, clinicians, post-graduate fellows, and graduate students working in the fields of biology, medicine, chemistry, pharmacology, and other related fields. Anyone who uses microscopes in their work and needs to understand the methodologies and capabilities of the latest digital image processing techniques will find this book invaluable. Presents a unique practical perspective of state-of-the-art microcope image processing and the development of specialized algorithms Each chapter includes in-depth analysis of methods coupled with the results of specific real-world experiments Co-edited by Kenneth R. Castleman, world-renowned pioneer in digital image processing and author of two seminal textbooks on the subject

Digital Image Processing and Analysis

Author : Scott E Umbaugh
Publisher : CRC Press
ISBN 13 : 143980205X
Total Pages : 980 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Digital Image Processing and Analysis by : Scott E Umbaugh

Download or read book Digital Image Processing and Analysis written by Scott E Umbaugh and published by CRC Press. This book was released on 2010-11-19 with total page 980 pages. Available in PDF, EPUB and Kindle. Book excerpt: Whether for computer evaluation of otherworldly terrain or the latest high definition 3D blockbuster, digital image processing involves the acquisition, analysis, and processing of visual information by computer and requires a unique skill set that has yet to be defined a single text. Until now. Taking an applications-oriented, engineering approach, Digital Image Processing and Analysis provides the tools for developing and advancing computer and human vision applications and brings image processing and analysis together into a unified framework. Providing information and background in a logical, as-needed fashion, the author presents topics as they become necessary for understanding the practical imaging model under study. He offers a conceptual presentation of the material for a solid understanding of complex topics and discusses the theory and foundations of digital image processing and the algorithm development needed to advance the field. With liberal use of color through-out and more materials on the processing of color images than the previous edition, this book provides supplementary exercises, a new chapter on applications, and two major new tools that allow for batch processing, the analysis of imaging algorithms, and the overall research and development of imaging applications. It includes two new software tools, the Computer Vision and Image Processing Algorithm Test and Analysis Tool (CVIP-ATAT) and the CVIP Feature Extraction and Pattern Classification Tool (CVIP-FEPC). Divided into five major sections, this book provides the concepts and models required to analyze digital images and develop computer vision and human consumption applications as well as all the necessary information to use the CVIPtools environment for algorithm development, making it an ideal reference tool for this fast growing field.

Computer Vision and Machine Intelligence in Medical Image Analysis

Author : Mousumi Gupta
Publisher : Springer Nature
ISBN 13 : 9811387982
Total Pages : 150 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Computer Vision and Machine Intelligence in Medical Image Analysis by : Mousumi Gupta

Download or read book Computer Vision and Machine Intelligence in Medical Image Analysis written by Mousumi Gupta and published by Springer Nature. This book was released on 2019-08-28 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes high-quality papers presented at the Symposium 2019, organised by Sikkim Manipal Institute of Technology (SMIT), in Sikkim from 26–27 February 2019. It discusses common research problems and challenges in medical image analysis, such as deep learning methods. It also discusses how these theories can be applied to a broad range of application areas, including lung and chest x-ray, breast CAD, microscopy and pathology. The studies included mainly focus on the detection of events from biomedical signals.

Advanced Machine Vision Paradigms for Medical Image Analysis

Author : Tapan K. Gandhi
Publisher : Academic Press
ISBN 13 : 0128192968
Total Pages : 308 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 308 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

Image Analysis in Histology

Author : Richard Wootton
Publisher : CUP Archive
ISBN 13 : 9780521434829
Total Pages : 466 pages
Book Rating : 4.4/5 (348 download)

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Book Synopsis Image Analysis in Histology by : Richard Wootton

Download or read book Image Analysis in Histology written by Richard Wootton and published by CUP Archive. This book was released on 1995-05-11 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume provides a timely and useful introduction to the theory and practical application of image analysis in histology. This powerful research technique can be used to detect not only stored products in a cell (immunocytochemistry) but the synthetic machinery and the genes that control it (in situ hybridisation), as well as the specific binding sites that act as receptors for a molecule following its release (in vitro autoradiography). The book provides a good introduction for beginners before looking in greater detail at more advanced material in selected areas. The volume highlights the importance of technique in gathering quantitative information. The book is divided into four sections: introductory material, image acquisition, image processing, and applications. The applications areas include quantitative immunochemistry, quantification of nerves and neurotransmitters and automated grain counting in in situ hybridisation histochemistry.

Deep Learning for Medical Image Analysis

Author : S. Kevin Zhou
Publisher : Academic Press
ISBN 13 : 0128104090
Total Pages : 458 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Deep Learning for Medical Image Analysis by : S. Kevin Zhou

Download or read book Deep Learning for Medical Image Analysis written by S. Kevin Zhou and published by Academic Press. This book was released on 2017-01-18 with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Microscopic Image Analysis for Life Science Applications

Author : Jens Rittscher (ed)
Publisher : Artech House Publishers
ISBN 13 : 9781596932364
Total Pages : 489 pages
Book Rating : 4.9/5 (323 download)

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Book Synopsis Microscopic Image Analysis for Life Science Applications by : Jens Rittscher (ed)

Download or read book Microscopic Image Analysis for Life Science Applications written by Jens Rittscher (ed) and published by Artech House Publishers. This book was released on 2008 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bridging the gap between biomedical imaging and the bioscience community, this text provides a detailed understanding of imaging platforms, fluorescence imaging, and fundamental image processing algorithms. The CD-ROM contains full-color images, movies, and other supplements.

Computer Vision and Image Analysis for Industry 4.0

Author : N. H. Siddique
Publisher :
ISBN 13 : 9781032187624
Total Pages : 0 pages
Book Rating : 4.1/5 (876 download)

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Book Synopsis Computer Vision and Image Analysis for Industry 4.0 by : N. H. Siddique

Download or read book Computer Vision and Image Analysis for Industry 4.0 written by N. H. Siddique and published by . This book was released on 2022-12 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Computer vision and image analysis play an essential role in 4.0 IR as machine vision and image analysis are indispensable components of every automated environment. Modern machine vision and image analysis techniques play key roles to automation and quality assurance"--

Computer Vision Approaches to Medical Image Analysis

Author : Reinhard R. Beichel
Publisher : Springer
ISBN 13 : 3540462589
Total Pages : 264 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Computer Vision Approaches to Medical Image Analysis by : Reinhard R. Beichel

Download or read book Computer Vision Approaches to Medical Image Analysis written by Reinhard R. Beichel and published by Springer. This book was released on 2006-10-20 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post proceedings of the international workshop Computer Vision Approaches to Medical Image Analysis, CVAMIA 2006, held in Graz, Austria in May 2006 as a satellite event of the 9th European Conference on Computer Vision, EECV 2006. The 10 revised full papers and 11 revised poster papers presented together with one invited talk were carefully reviewed and selected from 38 submissions.

Computer Vision and Image Analysis of Art

Author :
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (638 download)

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Book Synopsis Computer Vision and Image Analysis of Art by :

Download or read book Computer Vision and Image Analysis of Art written by and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Computer Vision in Medical Imaging

Author : Chi-hau Chen
Publisher : World Scientific
ISBN 13 : 981446094X
Total Pages : 410 pages
Book Rating : 4.8/5 (144 download)

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Book Synopsis Computer Vision in Medical Imaging by : Chi-hau Chen

Download or read book Computer Vision in Medical Imaging written by Chi-hau Chen and published by World Scientific. This book was released on 2013-11-18 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: The major progress in computer vision allows us to make extensive use of medical imaging data to provide us better diagnosis, treatment and predication of diseases. Computer vision can exploit texture, shape, contour and prior knowledge along with contextual information from image sequence and provide 3D and 4D information that helps with better human understanding. Many powerful tools have been available through image segmentation, machine learning, pattern classification, tracking, reconstruction to bring much needed quantitative information not easily available by trained human specialists. The aim of the book is for both medical imaging professionals to acquire and interpret the data, and computer vision professionals to provide enhanced medical information by using computer vision techniques. The final objective is to benefit the patients without adding to the already high medical costs.