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Biomedical Texture Analysis

Biomedical Texture Analysis
  • Author : Adrien Depeursinge
  • Publsiher : Academic Press
  • Release : 25 August 2017
  • ISBN : 0128123214
  • Pages : 430 pages
  • Rating : 4/5 from 21 ratings
GET THIS BOOKBiomedical Texture Analysis

Summary:
Biomedical Texture Analysis: Fundamentals, Applications, Tools and Challenges describes the fundamentals and applications of biomedical texture analysis (BTA) for precision medicine. It defines what biomedical textures (BTs) are and why they require specific image analysis design approaches when compared to more classical computer vision applications. The fundamental properties of BTs are given to highlight key aspects of texture operator design, providing a foundation for biomedical engineers to build the next generation of biomedical texture operators. Examples of novel texture operators are described and their ability to characterize BTs are demonstrated in a variety of applications in radiology and digital histopathology. Recent open-source software frameworks which enable the extraction, exploration and analysis of 2D and 3D texture-based imaging biomarkers are also presented. This book provides a thorough background on texture analysis for graduate students and biomedical engineers from both industry and academia who have basic image processing knowledge. Medical doctors and biologists with no background in image processing will also find available methods and software tools for analyzing textures in medical images. Defines biomedical texture precisely and describe how it is different from general texture information considered in computer vision Defines the general problem to translate 2D and 3D texture patterns from biomedical images to visually and biologically relevant measurements Describes, using intuitive concepts, how the most popular biomedical texture analysis approaches (e.g., gray-level matrices, fractals, wavelets, deep convolutional neural networks) work, what they have in common, and how they are different Identifies the strengths, weaknesses, and current challenges of existing methods including both handcrafted and learned representations, as well as deep learning. The goal is to establish foundations for building the next generation of biomedical texture operators Showcases applications where biomedical texture analysis has succeeded and failed Provides details on existing, freely available texture analysis software, helping experts in medicine or biology develop and test precise research hypothesis


Biomedical Texture Analysis

Biomedical Texture Analysis
  • Author : Adrien Depeursinge,Omar S Al-Kadi,J.Ross Mitchell
  • Publisher : Academic Press
  • Release : 25 August 2017
GET THIS BOOKBiomedical Texture Analysis

Biomedical Texture Analysis: Fundamentals, Applications, Tools and Challenges describes the fundamentals and applications of biomedical texture analysis (BTA) for precision medicine. It defines what biomedical textures (BTs) are and why they require specific image analysis design approaches when compared to more classical computer vision applications. The fundamental properties of BTs are given to highlight key aspects of texture operator design, providing a foundation for biomedical engineers to build the next generation of biomedical texture operators. Examples of novel texture operators

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Biomedical Texture Analysis

Biomedical Texture Analysis
  • Author : Adrien Depeursinge,Omar Al-Kadi,J. Ross Mitchell
  • Publisher : Academic Press
  • Release : 01 August 2017
GET THIS BOOKBiomedical Texture Analysis

Computerized recognition and quantification of texture information has been an active research domain for the past 50 years, with some of the pioneering work still widely used today. Recently, the increasing ubiquity of imaging data has driven the need for powerful image analysis approaches to convert this data into knowledge. One of the most promising application domains is biomedical imaging, which is a key enabling technology for precision medicine (e.g., radiomics and digital histopathology) and biomedical discovery (e.g., microscopy).

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Biomedical Image Analysis

Biomedical Image Analysis
  • Author : Rangaraj M. Rangayyan
  • Publisher : CRC Press
  • Release : 30 December 2004
GET THIS BOOKBiomedical Image Analysis

Computers have become an integral part of medical imaging systems and are used for everything from data acquisition and image generation to image display and analysis. As the scope and complexity of imaging technology steadily increase, more advanced techniques are required to solve the emerging challenges. Biomedical Image Analysis demonstr

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Advances in Computational Techniques for Biomedical Image Analysis

Advances in Computational Techniques for Biomedical Image Analysis
  • Author : Deepika Koundal,Savita Gupta
  • Publisher : Academic Press
  • Release : 28 May 2020
GET THIS BOOKAdvances in Computational Techniques for Biomedical Image Analysis

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.

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Advanced Biomedical Image Analysis

Advanced Biomedical Image Analysis
  • Author : Mark Haidekker
  • Publisher : John Wiley & Sons
  • Release : 29 March 2011
GET THIS BOOKAdvanced Biomedical Image Analysis

A comprehensive reference of cutting-edge advanced techniques for quantitative image processing and analysis Medical diagnostics and intervention, and biomedical research rely progressively on imaging techniques, namely, the ability to capture, store, analyze, and display images at the organ, tissue, cellular, and molecular level. These tasks are supported by increasingly powerful computer methods to process and analyze images. This text serves as an authoritative resource and self-study guide explaining sophisticated techniques of quantitative image analysis, with a focus on biomedical applications.

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Handbook Of Pattern Recognition And Computer Vision (2nd Edition)

Handbook Of Pattern Recognition And Computer Vision (2nd Edition)
  • Author : Chi Hau Chen,Louis-francois Pau,Patrick S P Wang
  • Publisher : World Scientific
  • Release : 12 March 1999
GET THIS BOOKHandbook Of Pattern Recognition And Computer Vision (2nd Edition)

The very significant advances in computer vision and pattern recognition and their applications in the last few years reflect the strong and growing interest in the field as well as the many opportunities and challenges it offers. The second edition of this handbook represents both the latest progress and updated knowledge in this dynamic field. The applications and technological issues are particularly emphasized in this edition to reflect the wide applicability of the field in many practical problems. To keep

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Biomedical Image Processing

Biomedical Image Processing
  • Author : Thomas Martin Deserno
  • Publisher : Springer Science & Business Media
  • Release : 01 March 2011
GET THIS BOOKBiomedical Image Processing

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

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Pattern Recognition and Signal Analysis in Medical Imaging

Pattern Recognition and Signal Analysis in Medical Imaging
  • Author : Anke Meyer-Baese,Volker J. Schmid
  • Publisher : Elsevier
  • Release : 21 March 2014
GET THIS BOOKPattern Recognition and Signal Analysis in Medical Imaging

Medical imaging is one of the heaviest funded biomedical engineering research areas. The second edition of Pattern Recognition and Signal Analysis in Medical Imaging brings sharp focus to the development of integrated systems for use in the clinical sector, enabling both imaging and the automatic assessment of the resultant data. Since the first edition, there has been tremendous development of new, powerful technologies for detecting, storing, transmitting, analyzing, and displaying medical images. Computer-aided analytical techniques, coupled with a continuing need

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Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning

Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning
  • Author : Rani, Geeta,Tiwari, Pradeep Kumar
  • Publisher : IGI Global
  • Release : 16 October 2020
GET THIS BOOKHandbook of Research on Disease Prediction Through Data Analytics and Machine Learning

By applying data analytics techniques and machine learning algorithms to predict disease, medical practitioners can more accurately diagnose and treat patients. However, researchers face problems in identifying suitable algorithms for pre-processing, transformations, and the integration of clinical data in a single module, as well as seeking different ways to build and evaluate models. The Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning is a pivotal reference source that explores the application of algorithms to making disease

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Intelligent Data Analysis for Biomedical Applications

Intelligent Data Analysis for Biomedical Applications
  • Author : Hemanth D. Jude,Deepak Gupta,Valentina Emilia Balas
  • Publisher : Academic Press
  • Release : 15 March 2019
GET THIS BOOKIntelligent Data Analysis for Biomedical Applications

Intelligent Data Analysis for Biomedical Applications: Challenges and Solutions presents specialized statistical, pattern recognition, machine learning, data abstraction and visualization tools for the analysis of data and discovery of mechanisms that create data. It provides computational methods and tools for intelligent data analysis, with an emphasis on problem-solving relating to automated data collection, such as computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring, and more. This book provides useful references for educational institutions, industry professionals, researchers,

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Handbook of Biomedical Image Analysis

Handbook of Biomedical Image Analysis
  • Author : David Wilson,Swamy Laxminarayan
  • Publisher : Springer Science & Business Media
  • Release : 25 April 2007
GET THIS BOOKHandbook of Biomedical Image Analysis

Our goal is to develop automated methods for the segmentation of thr- dimensional biomedical images. Here, we describe the segmentation of c- focal microscopy images of bee brains (20 individuals) by registration to one or several atlas images. Registration is performed by a highly parallel imp- mentation of an entropy-based nonrigid registration algorithm using B-spline transformations. We present and evaluate different methods to solve the cor- spondence problem in atlas based registration. An image can be segmented by registering it to

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Color Medical Image Analysis

Color Medical Image Analysis
  • Author : M. Emre Celebi,Gerald Schaefer
  • Publisher : Springer Science & Business Media
  • Release : 16 September 2012
GET THIS BOOKColor Medical Image Analysis

Since the early 20th century, medical imaging has been dominated by monochrome imaging modalities such as x-ray, computed tomography, ultrasound, and magnetic resonance imaging. As a result, color information has been overlooked in medical image analysis applications. Recently, various medical imaging modalities that involve color information have been introduced. These include cervicography, dermoscopy, fundus photography, gastrointestinal endoscopy, microscopy, and wound photography. However, in comparison to monochrome images, the analysis of color images is a relatively unexplored area. The multivariate nature

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Assessment of Cellular and Organ Function and Dysfunction using Direct and Derived MRI Methodologies

Assessment of Cellular and Organ Function and Dysfunction using Direct and Derived MRI Methodologies
  • Author : Christakis Constantinides
  • Publisher : BoD – Books on Demand
  • Release : 26 October 2016
GET THIS BOOKAssessment of Cellular and Organ Function and Dysfunction using Direct and Derived MRI Methodologies

Despite the tremendous growth in the field of magnetic resonance imaging (MRI) evidenced in the initial phases of its development in the early twentieth century, scientific focus has shifted in recent years toward the study of physiology and pathophysiology that span the spatial scales of the molecule, cell, tissue, and organ. Intensified research activities over the past 15 years have justified efforts toward molecular and cellular imaging, dual-modality imaging systems, real-time acquisitions, dedicated image processing techniques and applications, and the critical

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Image Processing

Image Processing
  • Author : Maria Petrou,Panagiota Bosdogianni
  • Publisher : Wiley
  • Release : 01 November 1999
GET THIS BOOKImage Processing

Image Processing The Fundamentals Maria Petrou, University of Surrey, Guildford, UK Panagiota Bosdogianni, Technical University of Crete, Chania, Greece Image processing has been one of the most active areas of research in recent years. The techniques involved have found significant applications in areas as diverse as video-conferencing, image communication, robotics, geoscience and medicine. From intelligent cars that drive themselves to key-hole surgery, this enormous impact on society is expected to change our lives radically. Providing a step by step guide

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Biomedical Image Analysis and Mining Techniques for Improved Health Outcomes

Biomedical Image Analysis and Mining Techniques for Improved Health Outcomes
  • Author : Karâa, Wahiba Ben Abdessalem
  • Publisher : IGI Global
  • Release : 03 November 2015
GET THIS BOOKBiomedical Image Analysis and Mining Techniques for Improved Health Outcomes

Every second, users produce large amounts of image data from medical and satellite imaging systems. Image mining techniques that are capable of extracting useful information from image data are becoming increasingly useful, especially in medicine and the health sciences. Biomedical Image Analysis and Mining Techniques for Improved Health Outcomes addresses major techniques regarding image processing as a tool for disease identification and diagnosis, as well as treatment recommendation. Highlighting current research intended to advance the medical field, this publication is

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