Computer Vision for Microscopy Image Analysis

Computer Vision for Microscopy Image Analysis
Author: Mei Chen, Ph.D
Publsiher: Academic Press
Total Pages: 350
Release: 2019-02-15
ISBN 10: 9780128149720
ISBN 13: 0128149728
Language: EN, FR, DE, ES & NL

Computer Vision for Microscopy Image Analysis Book Review:

Computer Vision for Microscopy Image Analysis provides a broad and in-depth introduction to state-of-the-art computer vision techniques for microscopy image analysis, showing how they can be applied to biological and medical data. Topics covered include sections on how computer vision analysis can automate and enhance human assessment of microscopy images for discovery, the important steps in microscopy image analysis, state-of-the-art methods for microscopy image analysis, how high-throughput microscopy enables researchers to automatically acquire thousands of images over a matter of hours, and more. Contains a general overview on each topics that is followed by an in-depth presentation of a state-of-the-art approach Includes perspectives and content contributed by both technologists and biologists Covers specific problems of segmentation and mitosis detection Introduces the fundamentals of tracking and 3D analysis Presents open source data and toolsets for microscopy image analysis on an accompanying website

Computer Vision for Microscopy Image Analysis

Computer Vision for Microscopy Image Analysis
Author: Mei Chen
Publsiher: Academic Press
Total Pages: 228
Release: 2020-12-01
ISBN 10: 0128149736
ISBN 13: 9780128149737
Language: EN, FR, DE, ES & NL

Computer Vision for Microscopy Image Analysis Book Review:

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

Microscope Image Processing

Microscope Image Processing
Author: Qiang Wu,Fatima Merchant,Kenneth Castleman
Publsiher: Elsevier
Total Pages: 576
Release: 2010-07-27
ISBN 10: 9780080558547
ISBN 13: 0080558542
Language: EN, FR, DE, ES & NL

Microscope Image Processing Book Review:

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

Computer Vision and Machine Learning for Microscopy Image Analysis

Computer Vision and Machine Learning for Microscopy Image Analysis
Author: Carlos Federico Arteta
Publsiher: Unknown
Total Pages: 135
Release: 2015
ISBN 10: 1928374650XXX
ISBN 13: OCLC:1065077482
Language: EN, FR, DE, ES & NL

Computer Vision and Machine Learning for Microscopy Image Analysis Book Review:

Progress in Pattern Recognition Image Analysis Computer Vision and Applications

Progress in Pattern Recognition  Image Analysis  Computer Vision  and Applications
Author: Ruben Vera-Rodriguez,Julian Fierrez,Aythami Morales
Publsiher: Springer
Total Pages: 987
Release: 2019-03-02
ISBN 10: 3030134695
ISBN 13: 9783030134693
Language: EN, FR, DE, ES & NL

Progress in Pattern Recognition Image Analysis Computer Vision and Applications Book Review:

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

Microscopic Image Analysis for Life Science Applications

Microscopic Image Analysis for Life Science Applications
Author: Jens Rittscher,Raghu Machiraju,Stephen T. C. Wong
Publsiher: Artech House
Total Pages: 489
Release: 2008
ISBN 10: 1596932376
ISBN 13: 9781596932371
Language: EN, FR, DE, ES & NL

Microscopic Image Analysis for Life Science Applications Book Review:

This unique resource gives you a detailed understanding of imaging platforms, fluorescence imaging, and fundamental image processing algorithms. Further, it guides you through application of advanced image analysis methods and techniques to specific biological problems. The book presents applications that span a wide range of scales, from the detection of signaling events in sub-cellular structures, to the automated analysis of tissue structures.

Image Technology

Image Technology
Author: Jorge L.C. Sanz
Publsiher: Springer Science & Business Media
Total Pages: 745
Release: 2012-12-06
ISBN 10: 3642582885
ISBN 13: 9783642582882
Language: EN, FR, DE, ES & NL

Image Technology Book Review:

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.

Deep Learning for Medical Image Analysis

Deep Learning for Medical Image Analysis
Author: S. Kevin Zhou,Hayit Greenspan,Dinggang Shen
Publsiher: Academic Press
Total Pages: 458
Release: 2017-01-18
ISBN 10: 0128104090
ISBN 13: 9780128104095
Language: EN, FR, DE, ES & NL

Deep Learning for Medical Image Analysis Book Review:

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

Progress in Pattern Recognition Image Analysis Computer Vision and Applications

Progress in Pattern Recognition  Image Analysis  Computer Vision  and Applications
Author: César San Martin,Sang-Woon Kim
Publsiher: Springer
Total Pages: 721
Release: 2011-11-12
ISBN 10: 3642250858
ISBN 13: 9783642250859
Language: EN, FR, DE, ES & NL

Progress in Pattern Recognition Image Analysis Computer Vision and Applications Book Review:

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.

Progress in Pattern Recognition Image Analysis Computer Vision and Applications

Progress in Pattern Recognition  Image Analysis  Computer Vision  and Applications
Author: José Ruiz-Shulcloper,Gabriella Sanniti di Baja
Publsiher: Springer
Total Pages: 573
Release: 2013-11-04
ISBN 10: 3642418279
ISBN 13: 9783642418273
Language: EN, FR, DE, ES & NL

Progress in Pattern Recognition Image Analysis Computer Vision and Applications Book Review:

The two-volume set LNCS 8258 and 8259 constitutes the refereed proceedings of the 18th Iberoamerican Congress on Pattern Recognition, CIARP 2013, held in Havana, Cuba, in November 2013. The 137 papers presented, together with two keynotes, were carefully reviewed and selected from 262 submissions. The papers are organized in topical sections on mathematical theory of PR, supervised and unsupervised classification, feature or instance selection for classification, image analysis and retrieval, signals analysis and processing, applications of pattern recognition, biometrics, video analysis, and data mining.

Content based Microscopic Image Analysis

Content based Microscopic Image Analysis
Author: Chen Li
Publsiher: Logos Verlag Berlin GmbH
Total Pages: 196
Release: 2016-05-15
ISBN 10: 3832542531
ISBN 13: 9783832542535
Language: EN, FR, DE, ES & NL

Content based Microscopic Image Analysis Book Review:

In this dissertation, novel Content-based Microscopic Image Analysis (CBMIA) methods, including Weakly Supervised Learning (WSL), are proposed to aid biological studies. In a CBMIA task, noisy image, image rotation, and object recognition problems need to be addressed. To this end, the first approach is a general supervised learning method, which consists of image segmentation, shape feature extraction, classification, and feature fusion, leading to a semi-automatic approach. In contrast, the second approach is a WSL method, which contains Sparse Coding (SC) feature extraction, classification, and feature fusion, leading to a full-automatic approach. In this WSL approach, the problems of noisy image and object recognition are jointly resolved by a region-based classifier, and the image rotation problem is figured out through SC features. To demonstrate the usefulness and potential of the proposed methods, experiments are implemented on di erent practical biological tasks, including environmental microorganism classification, stem cell analysis, and insect tracking.

Research Developments in Computer Vision and Image Processing Methodologies and Applications

Research Developments in Computer Vision and Image Processing  Methodologies and Applications
Author: Srivastava, Rajeev
Publsiher: IGI Global
Total Pages: 451
Release: 2013-09-30
ISBN 10: 1466645598
ISBN 13: 9781466645592
Language: EN, FR, DE, ES & NL

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

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.

New Methods to Improve Large Scale Microscopy Image Analysis with Prior Knowledge and Uncertainty

New Methods to Improve Large Scale Microscopy Image Analysis with Prior Knowledge and Uncertainty
Author: Stegmaier, Johannes
Publsiher: KIT Scientific Publishing
Total Pages: 266
Release: 2017-02-08
ISBN 10: 3731505908
ISBN 13: 9783731505907
Language: EN, FR, DE, ES & NL

New Methods to Improve Large Scale Microscopy Image Analysis with Prior Knowledge and Uncertainty Book Review:

Proceedings of 2nd International Conference on Computer Vision Image Processing

Proceedings of 2nd International Conference on Computer Vision   Image Processing
Author: Bidyut B. Chaudhuri,Mohan S. Kankanhalli,Balasubramanian Raman
Publsiher: Springer
Total Pages: 402
Release: 2018-05-04
ISBN 10: 981107898X
ISBN 13: 9789811078989
Language: EN, FR, DE, ES & NL

Proceedings of 2nd International Conference on Computer Vision Image Processing Book Review:

The book provides insights into the Second International Conference on Computer Vision & Image Processing (CVIP-2017) organized by Department of Computer Science and Engineering of Indian Institute of Technology Roorkee. The book presents technological progress and research outcomes in the area of image processing and computer vision. The topics covered in this book are image/video processing and analysis; image/video formation and display; image/video filtering, restoration, enhancement and super-resolution; image/video coding and transmission; image/video storage, retrieval and authentication; image/video quality; transform-based and multi-resolution image/video analysis; biological and perceptual models for image/video processing; machine learning in image/video analysis; probability and uncertainty handling for image/video processing; motion and tracking; segmentation and recognition; shape, structure and stereo.

Progress in Pattern Recognition Image Analysis Computer Vision and Applications

Progress in Pattern Recognition  Image Analysis  Computer Vision  and Applications
Author: João Manuel R. S. Tavares,João Paulo Papa,Manuel González Hidalgo
Publsiher: Springer Nature
Total Pages: 490
Release: 2022-01-13
ISBN 10: 3030934209
ISBN 13: 9783030934200
Language: EN, FR, DE, ES & NL

Progress in Pattern Recognition Image Analysis Computer Vision and Applications Book Review:

This book constitutes the proceedings of the 25th Iberoamerican Congress on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, CIARP 2021, which took place during May 10–13, 2021. The conference was initially planned to take place in Porto, Portugal, but changed to a virtual event due to the COVID-19 pandemic. The 45 papers presented in this volume were carefully reviewed and selected from 82 submissions. They were organized in topical sections as follows: medical applications; natural language processing; metaheuristics; image segmentation; databases; deep learning; explainable artificial intelligence; image processing; machine learning; and computer vision.

Decision Forests for Computer Vision and Medical Image Analysis

Decision Forests for Computer Vision and Medical Image Analysis
Author: Antonio Criminisi,J Shotton
Publsiher: Springer Science & Business Media
Total Pages: 368
Release: 2013-01-30
ISBN 10: 1447149297
ISBN 13: 9781447149293
Language: EN, FR, DE, ES & NL

Decision Forests for Computer Vision and Medical Image Analysis Book Review:

This practical and easy-to-follow text explores the theoretical underpinnings of decision forests, organizing the vast existing literature on the field within a new, general-purpose forest model. Topics and features: with a foreword by Prof. Y. Amit and Prof. D. Geman, recounting their participation in the development of decision forests; introduces a flexible decision forest model, capable of addressing a large and diverse set of image and video analysis tasks; investigates both the theoretical foundations and the practical implementation of decision forests; discusses the use of decision forests for such tasks as classification, regression, density estimation, manifold learning, active learning and semi-supervised classification; includes exercises and experiments throughout the text, with solutions, slides, demo videos and other supplementary material provided at an associated website; provides a free, user-friendly software library, enabling the reader to experiment with forests in a hands-on manner.

Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis

Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis
Author: Nilanjan Dey
Publsiher: Academic Press
Total Pages: 218
Release: 2019-07-31
ISBN 10: 0128180056
ISBN 13: 9780128180051
Language: EN, FR, DE, ES & NL

Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis Book Review:

Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis covers the most current advances on how to apply classification techniques to a wide variety of clinical applications that are appropriate for researchers and biomedical engineers in the areas of machine learning, deep learning, data analysis, data management and computer-aided diagnosis (CAD) systems design. The book covers several complex image classification problems using pattern recognition methods, including Artificial Neural Networks (ANN), Support Vector Machines (SVM), Bayesian Networks (BN) and deep learning. Further, numerous data mining techniques are discussed, as they have proven to be good classifiers for medical images. Examines the methodology of classification of medical images that covers the taxonomy of both supervised and unsupervised models, algorithms, applications and challenges Discusses recent advances in Artificial Neural Networks, machine learning, and deep learning in clinical applications Introduces several techniques for medical image processing and analysis for CAD systems design

Data Engineering and Communication Technology

Data Engineering and Communication Technology
Author: K. Srujan Raju,Roman Senkerik,Satya Prasad Lanka,V. Rajagopal
Publsiher: Springer Nature
Total Pages: 963
Release: 2020-01-08
ISBN 10: 9811510970
ISBN 13: 9789811510977
Language: EN, FR, DE, ES & NL

Data Engineering and Communication Technology Book Review:

This book includes selected papers presented at the 3rd International Conference on Data Engineering and Communication Technology (ICDECT-2K19), held at Stanley College of Engineering and Technology for Women, Hyderabad, from 15 to 16 March 2019. It features advanced, multidisciplinary research towards the design of smart computing, information systems, and electronic systems. It also focuses on various innovation paradigms in system knowledge, intelligence, and sustainability which can be applied to provide viable solutions to diverse problems related to society, the environment, and industry.

Neutrosophic Set in Medical Image Analysis

Neutrosophic Set in Medical Image Analysis
Author: Yanhui Guo,Amira S. Ashour
Publsiher: Academic Press
Total Pages: 370
Release: 2019-08-08
ISBN 10: 0128181494
ISBN 13: 9780128181492
Language: EN, FR, DE, ES & NL

Neutrosophic Set in Medical Image Analysis Book Review:

Neutrosophic Set in Medical Image Analysis gives an understanding of the concepts of NS, along with knowledge on how to gather, interpret, analyze and handle medical images using NS methods. It presents the latest cutting-edge research that gives insight into neutrosophic set’s novel techniques, strategies and challenges, showing how it can be used in biomedical diagnoses systems. The neutrosophic set (NS), which is a generalization of fuzzy set, offers the prospect of overcoming the restrictions of fuzzy-based approaches to medical image analysis. Introduces the mathematical model and concepts of neutrosophic theory and methods Highlights the different techniques of neutrosophic theory, focusing on applying the neutrosophic set in image analysis to support computer- aided diagnosis (CAD) systems, including approaches from soft computing and machine learning Shows how NS techniques can be applied to medical image denoising, segmentation and classification Provides challenges and future directions in neutrosophic set based medical image analysis

Advancement of Machine Intelligence in Interactive Medical Image Analysis

Advancement of Machine Intelligence in Interactive Medical Image Analysis
Author: Om Prakash Verma,Sudipta Roy,Subhash Chandra Pandey,Mamta Mittal
Publsiher: Springer Nature
Total Pages: 329
Release: 2019-12-11
ISBN 10: 9811511004
ISBN 13: 9789811511004
Language: EN, FR, DE, ES & NL

Advancement of Machine Intelligence in Interactive Medical Image Analysis Book Review:

The book discusses major technical advances and research findings in the field of machine intelligence in medical image analysis. It examines the latest technologies and that have been implemented in clinical practice, such as computational intelligence in computer-aided diagnosis, biological image analysis, and computer-aided surgery and therapy. This book provides insights into the basic science involved in processing, analysing, and utilising all aspects of advanced computational intelligence in medical decision-making based on medical imaging.