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Computer Vision for Microscopy Image Analysis

Computer Vision for Microscopy Image Analysis
A Book

by Mei Chen

  • Publisher : Academic Press
  • Release : 2020-12-01
  • Pages : 228
  • ISBN : 0128149736
  • Language : En, Es, Fr & De
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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

Research Developments in Computer Vision and Image Processing: Methodologies and Applications

Research Developments in Computer Vision and Image Processing: Methodologies and Applications
Methodologies and Applications

by Srivastava, Rajeev

  • Publisher : IGI Global
  • Release : 2013-09-30
  • Pages : 451
  • ISBN : 1466645598
  • Language : En, Es, Fr & De
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Similar to the way in which computer vision and computer graphics act as the dual fields that connect image processing in modern computer science, the field of image processing can be considered a crucial middle road between the vision and graphics fields. Research Developments in Computer Vision and Image Processing: Methodologies and Applications brings together various research methodologies and trends in emerging areas of application of computer vision and image processing. This book is useful for students, researchers, scientists, and engineers interested in the research developments of this rapidly growing field.

Image Processing: Concepts, Methodologies, Tools, and Applications

Image Processing: Concepts, Methodologies, Tools, and Applications
Concepts, Methodologies, Tools, and Applications

by Management Association, Information Resources

  • Publisher : IGI Global
  • Release : 2013-05-31
  • Pages : 1552
  • ISBN : 1466639954
  • Language : En, Es, Fr & De
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Advancements in digital technology continue to expand the image science field through the tools and techniques utilized to process two-dimensional images and videos. Image Processing: Concepts, Methodologies, Tools, and Applications presents a collection of research on this multidisciplinary field and the operation of multi-dimensional signals with systems that range from simple digital circuits to computers. This reference source is essential for researchers, academics, and students in the computer science, computer vision, and electrical engineering fields.

Image Analysis and Processing – ICIAP 2019

Image Analysis and Processing – ICIAP 2019
20th International Conference, Trento, Italy, September 9–13, 2019, Proceedings

by Elisa Ricci,Samuel Rota Bulò,Cees Snoek,Oswald Lanz,Stefano Messelodi,Nicu Sebe

  • Publisher : Springer Nature
  • Release : 2019-11-03
  • Pages : 769
  • ISBN : 3030306453
  • Language : En, Es, Fr & De
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The two-volume set LNCS 11751 and 11752 constitutes the refereed proceedings of the 20th International Conference on Image Analysis and Processing, ICIAP 2019, held in Trento, Italy, in September 2019. The 117 papers presented were carefully reviewed and selected from 207 submissions. The papers cover both classic and the most recent trends in image processing, computer vision, and pattern recognition, addressing both theoretical and applicative aspects. They are organized in the following topical sections: Video Analysis and Understanding; Pattern Recognition and Machine Learning; Deep Learning; Multiview Geometry and 3D Computer Vision; Image Analysis, Detection and Recognition; Multimedia; Biomedical and Assistive Technology; Digital Forensics; Image processing for Cultural Heritage.

Deep Learning for Medical Image Analysis

Deep Learning for Medical Image Analysis
A Book

by S. Kevin Zhou,Hayit Greenspan,Dinggang Shen

  • Publisher : Academic Press
  • Release : 2017-01-18
  • Pages : 458
  • ISBN : 0128104090
  • Language : En, Es, Fr & De
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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

Microscope Image Processing

Microscope Image Processing
A Book

by Qiang Wu,Fatima Merchant,Kenneth Castleman

  • Publisher : Elsevier
  • Release : 2010-07-27
  • Pages : 576
  • ISBN : 9780080558547
  • Language : En, Es, Fr & De
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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

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
23rd Iberoamerican Congress, CIARP 2018, Madrid, Spain, November 19-22, 2018, Proceedings

by Ruben Vera-Rodriguez,Julian Fierrez,Aythami Morales

  • Publisher : Springer
  • Release : 2019-03-02
  • Pages : 987
  • ISBN : 3030134695
  • Language : En, Es, Fr & De
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This book constitutes the refereed post-conference proceedings of the 23rd Iberoamerican Congress on Pattern Recognition, CIARP 2018, held in Madrid, Spain, in November 2018 The 112 papers presented were carefully reviewed and selected from 187 submissions The program was comprised of 6 oral sessions on the following topics: machine learning, computer vision, classification, biometrics and medical applications, and brain signals, and also on: text and character analysis, human interaction, and sentiment analysis

Image Analysis and Recognition

Image Analysis and Recognition
15th International Conference, ICIAR 2018, Póvoa de Varzim, Portugal, June 27–29, 2018, Proceedings

by Aurélio Campilho,Fakhri Karray,Bart ter Haar Romeny

  • Publisher : Springer
  • Release : 2018-07-31
  • Pages : 944
  • ISBN : 3319930001
  • Language : En, Es, Fr & De
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This book constitutes the thoroughly refereed proceedings of the 15th International Conference on Image Analysis and Recognition, ICIAR 2018, held in Póvoa de Varzim, Portugal, in June 2018. The 91 full papers presented together with 15 short papers were carefully reviewed and selected from 179 submissions. The papers are organized in the following topical sections: Enhancement, Restoration and Reconstruction, Image Segmentation, Detection, Classication and Recognition, Indexing and Retrieval, Computer Vision, Activity Recognition, Traffic and Surveillance, Applications, Biomedical Image Analysis, Diagnosis and Screening of Ophthalmic Diseases, and Challenge on Breast Cancer Histology Images.

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
16th Iberoamerican Congress on Pattern Recognition, CIARP 2011, Pucón, Chile, November 15-18, 2011. Proceedings

by César San Martin,Sang-Woon Kim

  • Publisher : Springer
  • Release : 2011-11-12
  • Pages : 721
  • ISBN : 3642250858
  • Language : En, Es, Fr & De
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This book constitutes the refereed proceedings of the 16th Iberoamerican Congress on Pattern Recognition, CIARP 2011, held in Pucón, Chile, in November 2011. The 81 revised full papers presented together with 3 keynotes were carefully reviewed and selected from numerous submissions. Topics of interest covered are image processing, restoration and segmentation; computer vision; clustering and artificial intelligence; pattern recognition and classification; applications of pattern recognition; and Chilean Workshop on Pattern Recognition.

Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis

Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis
ECCV 2004 Workshops CVAMIA and MMBIA Prague, Czech Republic, May 15, 2004, Revised Selected Papers

by Milan Sonka,Ioannis A. Kakadiaris,Jan Kybic

  • Publisher : Springer
  • Release : 2004-10-04
  • Pages : 444
  • ISBN : 3540278168
  • Language : En, Es, Fr & De
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Medical imaging and medical image analysisare rapidly developing. While m- ical imaging has already become a standard of modern medical care, medical image analysis is still mostly performed visually and qualitatively. The ev- increasing volume of acquired data makes it impossible to utilize them in full. Equally important, the visual approaches to medical image analysis are known to su?er from a lack of reproducibility. A signi?cant researche?ort is devoted to developing algorithms for processing the wealth of data available and extracting the relevant information in a computerized and quantitative fashion. Medical imaging and image analysis are interdisciplinary areas combining electrical, computer, and biomedical engineering; computer science; mathem- ics; physics; statistics; biology; medicine; and other ?elds. Medical imaging and computer vision, interestingly enough, have developed and continue developing somewhat independently. Nevertheless, bringing them together promises to b- e?t both of these ?elds. We were enthusiastic when the organizers of the 2004 European Conference on Computer Vision (ECCV) allowed us to organize a satellite workshop devoted to medical image analysis.

Progress in Image Analysis and Processing, ICIAP 2013

Progress in Image Analysis and Processing, ICIAP 2013
Naples, Italy, September 9-13, 2013, Proceedings

by Alfredo Petrosino

  • Publisher : Springer
  • Release : 2013-09-03
  • Pages : 766
  • ISBN : 3642411843
  • Language : En, Es, Fr & De
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This two volume set (LNCS 8156 and 8157) constitutes the refereed proceedings of the 17th International Conference on Image Analysis and Processing, ICIAP 2013, held in Naples, Italy, in September 2013. The 162 papers presented were carefully reviewed and selected from 354 submissions. The papers aim at highlighting the connection and synergies of image processing and analysis with pattern recognition and machine learning, human computer systems, biomedical imaging and applications, multimedia interaction and processing, 3D computer vision, and understanding objects and scene.

Histopathological Image Analysis in Medical Decision Making

Histopathological Image Analysis in Medical Decision Making
A Book

by Dey, Nilanjan,Ashour, Amira S.,Kalia, Harihar,Goswami, R.T.,Das, Himansu

  • Publisher : IGI Global
  • Release : 2018-09-21
  • Pages : 340
  • ISBN : 1522563172
  • Language : En, Es, Fr & De
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Medical imaging technologies play a significant role in visualization and interpretation methods in medical diagnosis and practice using decision making, pattern classification, diagnosis, and learning. Progressions in the field of medical imaging lead to interdisciplinary discovery in microscopic image processing and computer-assisted diagnosis systems, and aids physicians in the diagnosis and early detection of diseases. Histopathological Image Analysis in Medical Decision Making provides emerging research exploring the theoretical and practical applications of image technologies and feature extraction procedures within the medical field. Featuring coverage on a broad range of topics such as image classification, digital image analysis, and prediction methods, this book is ideally designed for medical professionals, system engineers, medical students, researchers, and medical practitioners seeking current research on problem-oriented processing techniques in imaging technologies.

Pattern Recognition and Computer Vision

Pattern Recognition and Computer Vision
Second Chinese Conference, PRCV 2019, Xi’an, China, November 8–11, 2019, Proceedings, Part II

by Zhouchen Lin,Liang Wang,Jian Yang,Guangming Shi,Tieniu Tan,Nanning Zheng,Xilin Chen,Yanning Zhang

  • Publisher : Springer Nature
  • Release : 2019-10-31
  • Pages : 813
  • ISBN : 3030317234
  • Language : En, Es, Fr & De
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The three-volume set LNCS 11857, 11858, and 11859 constitutes the refereed proceedings of the Second Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2019, held in Xi’an, China, in November 2019. The 165 revised full papers presented were carefully reviewed and selected from 412 submissions. The papers have been organized in the following topical sections: Part I: Object Detection, Tracking and Recognition, Part II: Image/Video Processing and Analysis, Part III: Data Analysis and Optimization.

Pattern Recognition and Image Analysis

Pattern Recognition and Image Analysis
9th Iberian Conference, IbPRIA 2019, Madrid, Spain, July 1–4, 2019, Proceedings

by Aythami Morales,Julian Fierrez,José Salvador Sánchez,Bernardete Ribeiro

  • Publisher : Springer Nature
  • Release : 2019-09-21
  • Pages : 632
  • ISBN : 3030313328
  • Language : En, Es, Fr & De
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This 2-volume set constitutes the refereed proceedings of the 9th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2019, held in Madrid, Spain, in July 2019. The 99 papers in these volumes were carefully reviewed and selected from 137 submissions. They are organized in topical sections named: Part I: best ranked papers; machine learning; pattern recognition; image processing and representation. Part II: biometrics; handwriting and document analysis; other applications.

Scale-based Integrated Microscopic Computer Vision Techniques for Micromanipulation and Microassembly

Scale-based Integrated Microscopic Computer Vision Techniques for Micromanipulation and Microassembly
A Book

by Ge Yang

  • Publisher : Unknown Publisher
  • Release : 2004
  • Pages : 288
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Analysis of Atomic Force Microscopy Images Using the Wavelet Transform

Analysis of Atomic Force Microscopy Images Using the Wavelet Transform
A Book

by Douglas Matthew Carmichael

  • Publisher : Unknown Publisher
  • Release : 2004
  • Pages : 238
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Plant Image Analysis

Plant Image Analysis
Fundamentals and Applications

by S Dutta Gupta,Yasuomi Ibaraki

  • Publisher : CRC Press
  • Release : 2014-09-17
  • Pages : 398
  • ISBN : 1466583010
  • Language : En, Es, Fr & De
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The application of imaging techniques in plant and agricultural sciences had previously been confined to images obtained through remote sensing techniques. Technological advancements now allow image analysis for the nondestructive and objective evaluation of biological objects. This has opened a new window in the field of plant science. Plant Image Analysis: Fundamentals and Applications introduces the basic concepts of image analysis and discusses various techniques in plant imaging, their applications, and future potential. Several types of imaging techniques are discussed including RGB, hyperspectral, thermal, PRI, chlorophyll fluorescence, ROS, and chromosome imaging. The book also covers the use of these techniques in assessing plant growth, early detection of disease and stress, fruit crop yield, plant chromosome analysis, plant phenotyping, and nutrient status both in vivo and in vitro. The book is an authoritative guide for researchers and those teaching in the fields of stress physiology, precision agriculture, agricultural biotechnology, and cell and developmental biology. Graduate students and professionals using machine vision in plant science will also benefit from this comprehensive resource.

Biomedical Image Processing and Three-dimensional Microscopy

Biomedical Image Processing and Three-dimensional Microscopy
10-13 February 1992, San Jose, California

by Rajgopal Sundaraj Acharya,Carol J. Cogswell,Dmitry B. Goldgof

  • Publisher : Society of Photo Optical
  • Release : 1992
  • Pages : 835
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Pattern Recognition and Computer Vision

Pattern Recognition and Computer Vision
Third Chinese Conference, PRCV 2020, Nanjing, China, October 16–18, 2020, Proceedings, Part I

by Yuxin Peng,Qingshan Liu,Huchuan Lu,Zhenan Sun,Chenglin Liu,Xilin Chen,Hongbin Zha,Jian Yang

  • Publisher : Springer Nature
  • Release : 2020-10-11
  • Pages : 765
  • ISBN : 3030606333
  • Language : En, Es, Fr & De
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The three-volume set LNCS 12305, 12306, and 12307 constitutes the refereed proceedings of the Third Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2020, held virtually in Nanjing, China, in October 2020. The 158 full papers presented were carefully reviewed and selected from 402 submissions. The papers have been organized in the following topical sections: Part I: Computer Vision and Application, Part II: Pattern Recognition and Application, Part III: Machine Learning.

Journal of Computer-assisted Microscopy

Journal of Computer-assisted Microscopy
A Book

by Anonim

  • Publisher : Unknown Publisher
  • Release : 1996
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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