Book > Computer Vision For Microscopy Image Analysis

Computer Vision for Microscopy Image Analysis

Computer Vision for Microscopy Image Analysis

Detail Book : Computer Vision for Microscopy Image Analysis written by Mei Chen, Ph.D, published by Academic Press which was released on 15 February 2019. Download Computer Vision for Microscopy Image Analysis Books now! Available in PDF, ePub and Kindle. 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

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Author : Mei Chen, Ph.D
Release Date : 15 February 2019
Publisher : Academic Press
Rating : 4/5 (from 21 users)
Pages : 350
ISBN : 9780128149720
Format : PDF, ePUB, KF8, PDB, MOBI, Tuebl
Computer Vision for Microscopy Image Analysis

Computer Vision for Microscopy Image Analysis

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

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Computer Vision and Machine Intelligence in Medical Image Analysis

Computer Vision and Machine Intelligence in Medical Image Analysis

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

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Microscope Image Processing

Microscope Image Processing

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

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Deep Learning for Medical Image Analysis

Deep Learning for Medical Image Analysis

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

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Computer Assisted Microscopy

Computer Assisted Microscopy

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

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Computer Vision for Biomedical Image Applications

Computer Vision for Biomedical Image Applications

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.

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Research Developments in Computer Vision and Image Processing  Methodologies and Applications

Research Developments in Computer Vision and Image Processing Methodologies and Applications

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:

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Microscopic Image Analysis for Life Science Applications

Microscopic Image Analysis for Life Science Applications

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

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Image Analysis and Processing     ICIAP 2019

Image Analysis and Processing ICIAP 2019

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

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Handbook of Computer Vision Algorithms in Image Algebra

Handbook of Computer Vision Algorithms in Image Algebra

Image algebra is a comprehensive, unifying theory of image transformations, image analysis, and image understanding. In 1996, the bestselling first edition of the Handbook of Computer Vision Algorithms in Image Algebra introduced engineers, scientists, and students to this powerful tool, its basic concepts, and its use in the concise representation of

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Microscope Image Processing

Microscope Image Processing

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

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Algorithms for Image Processing and Computer Vision

Algorithms for Image Processing and Computer Vision

A cookbook of algorithms for common image processing applications Thanks to advances in computer hardware and software, algorithms have been developed that support sophisticated image processing without requiring an extensive background in mathematics. This bestselling book has been fully updated with the newest of these, including 2D vision methods in

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Computer Vision

Computer Vision

Computer Vision: Algorithms and Applications explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students

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