Biomedical 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 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

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  • Author : Adrien Depeursinge
  • Publisher : Academic Press
  • Pages : 430 pages
  • ISBN : 0128123214
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKBiomedical Texture Analysis

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

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.

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.

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

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

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

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

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
  • Publisher : Springer Nature
  • Release : 13 January 2022
GET THIS BOOKProgress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

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

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,

Artificial Intelligence in Cardiothoracic Imaging

Artificial Intelligence in Cardiothoracic Imaging
  • Author : Carlo N. De Cecco,Marly van Assen,Tim Leiner
  • Publisher : Springer Nature
  • Release : 22 April 2022
GET THIS BOOKArtificial Intelligence in Cardiothoracic Imaging

This book provides an overview of current and potential applications of artificial intelligence (AI) for cardiothoracic imaging. Most AI systems used in medical imaging are data-driven and based on supervised machine learning. Clinicians and AI specialists can contribute to the development of an AI system in different ways, focusing on their respective strengths. Unfortunately, communication between these two sides is far from fluent and, from time to time, they speak completely different languages. Mutual understanding and collaboration are imperative because

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

Biomedical Imaging

Biomedical Imaging
  • Author : Youxin Mao
  • Publisher : BoD – Books on Demand
  • Release : 01 March 2010
GET THIS BOOKBiomedical Imaging

Biomedical imaging is becoming an indispensable branch within bioengineering. This research field has recently expanded due to the requirement of high-level medical diagnostics and rapid development of interdisciplinary modern technologies. This book is designed to present the most recent advances in instrumentation, methods, and image processing as well as clinical applications in important areas of biomedical imaging. It provides broad coverage of the field of biomedical imaging, with particular attention to an engineering viewpoint. The goal of the book is

Computers in Medical Activity

Computers in Medical Activity
  • Author : Edward Kacki,Marek Rudnicki,Joanna Stempczynska
  • Publisher : Springer Science & Business Media
  • Release : 13 October 2009
GET THIS BOOKComputers in Medical Activity

Papers selected to the present monograph are only a small piece of subjects being investigated in Poland in the range of medical computer science. Their summaries and preliminary results were presented during the international conference „Computers in Medical Activity" organized by the College of Computer Science in Lodz with the collaboration of the Polish Society of Medical Computer Science in Poland in 2007. The subject matter of the monograph is mainly steered on employing the computer systems in the diagnostics then

Biomedical Image Synthesis and Simulation

Biomedical Image Synthesis and Simulation
  • Author : Ninon Burgos,David Svoboda
  • Publisher : Academic Press
  • Release : 30 June 2022
GET THIS BOOKBiomedical Image Synthesis and Simulation

Biomedical Image Synthesis and Simulations: Methods and Applications presents the latest on basic concepts and applications in image-based simulation and synthesis used in medical and biomedical imaging. Sections introduce and describe the simulation and synthesis methods that were developed and successfully used within the last twenty years and give examples of successful applications of these methods. As the book provides a survey of all the commonly established approaches and more recent deep learning methods, it is highly suitable for graduate

Deep Neural Networks for Multimodal Imaging and Biomedical Applications

Deep Neural Networks for Multimodal Imaging and Biomedical Applications
  • Author : Suresh, Annamalai,Udendhran, R.,Vimal, S.
  • Publisher : IGI Global
  • Release : 26 June 2020
GET THIS BOOKDeep Neural Networks for Multimodal Imaging and Biomedical Applications

The field of healthcare is seeing a rapid expansion of technological advancement within current medical practices. The implementation of technologies including neural networks, multi-model imaging, genetic algorithms, and soft computing are assisting in predicting and identifying diseases, diagnosing cancer, and the examination of cells. Implementing these biomedical technologies remains a challenge for hospitals worldwide, creating a need for research on the specific applications of these computational techniques. Deep Neural Networks for Multimodal Imaging and Biomedical Applications provides research exploring the