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Advances in Computational Techniques for Biomedical Image Analysis

Advances in Computational Techniques for Biomedical Image Analysis
  • Author : Deepika Koundal
  • Publsiher : Academic Press
  • Release : 28 May 2020
  • ISBN : 0128204117
  • Pages : 322 pages
  • Rating : 4/5 from 21 ratings
GET THIS BOOKAdvances in Computational Techniques for Biomedical Image Analysis

Summary:
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. Advances in Computational Techniques for Biomedical Image Analysis: Method and Applications is ideal for researchers and post graduate students developing systems and tools for health-care systems. Covers various challenges and common research issues related to biomedical image analysis Describes advanced computational approaches for biomedical image analysis Shows how algorithms are applied to a broad range of application areas, including Chest X-ray, breast CAD, lung and chest, microscopy and pathology, etc. Explores a range of computational algorithms and techniques, such as neural networks, fuzzy sets, and evolutionary optimization Explores cloud based medical imaging together with medical imaging security and forensics


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.


Computational Techniques for Dental Image Analysis

Computational Techniques for Dental Image Analysis
  • Author : Kamalanand, K.,Thayumanavan, B.,Jawahar, P. Mannar
  • Publisher : IGI Global
  • Release : 30 October 2018
GET THIS BOOKComputational Techniques for Dental Image Analysis

With the technology innovations dentistry has witnessed in all its branches over the past three decades, the need for more precise diagnostic tools and advanced imaging methods has become mandatory across the industry. Recent advancements to imaging systems are playing an important role in efficient diagnoses, treatments, and surgeries. Computational Techniques for Dental Image Analysis provides innovative insights into computerized methods for automated analysis. The research presented within this publication explores pattern recognition, oral pathologies, and diagnostic processing. It is


Advances in Computational Vision and Medical Image Processing

Advances in Computational Vision and Medical Image Processing
  • Author : Joao Tavares,R. M. Natal Jorge
  • Publisher : Springer Science & Business Media
  • Release : 21 December 2008
GET THIS BOOKAdvances in Computational Vision and Medical Image Processing

Computational methodologies of signal processing and imaging analysis, namely considering 2D and 3D images, are commonly used in different applications of the human society. For example, Computational Vision systems are progressively used for surveillance tasks, traf?c analysis, recognition process, inspection p- poses, human-machine interfaces, 3D vision and deformation analysis. One of the main characteristics of the Computational Vision domain is its int- multidisciplinary. In fact, in this domain, methodologies of several more fundam- tal sciences, such as Informatics, Mathematics,


Computational Intelligence in Medical Imaging

Computational Intelligence in Medical Imaging
  • Author : G. Schaefer,A. Hassanien,J. Jiang
  • Publisher : CRC Press
  • Release : 24 March 2009
GET THIS BOOKComputational Intelligence in Medical Imaging

CI Techniques & Algorithms for a Variety of Medical Imaging Situations Documents recent advances and stimulates further research A compilation of the latest trends in the field, Computational Intelligence in Medical Imaging: Techniques and Applications explores how intelligent computing can bring enormous benefit to existing technology in medical image processing as well as improve medical imaging research. The contributors also cover state-of-the-art research toward integrating medical image processing with artificial intelligence and machine learning approaches. The book presents numerous techniques, algorithms,


Recent Advances in Computational Methods and Clinical Applications for Spine Imaging

Recent Advances in Computational Methods and Clinical Applications for Spine Imaging
  • Author : Jianhua Yao,Ben Glocker,Tobias Klinder,Shuo Li
  • Publisher : Springer
  • Release : 09 February 2015
GET THIS BOOKRecent Advances in Computational Methods and Clinical Applications for Spine Imaging

This book contains the full papers presented at the MICCAI 2014 workshop on Computational Methods and Clinical Applications for Spine Imaging. The workshop brought together scientists and clinicians in the field of computational spine imaging. The chapters included in this book present and discuss the new advances and challenges in these fields, using several methods and techniques in order to address more efficiently different and timely applications involving signal and image acquisition, image processing and analysis, image segmentation, image registration and


Medical Imaging Systems Technology

Medical Imaging Systems Technology
  • Author : Cornelius T Leondes
  • Publisher : World Scientific
  • Release : 25 August 2005
GET THIS BOOKMedical Imaging Systems Technology

Readership: Academics, researchers, industrialists, postgraduate and graduate students in databases, fuzzy logic, machine vision/pattern recognition, neural networks, bioengineering, electrical & electronic engineering, and bioinformatics.Key Features: Provides a significant and uniquely comprehensive reference source for research workers and practitioners Features 130 contributors from 27 countries, among the foremost authorities in industry, government and academia Institutions, laboratories and individuals involved in the area of medical imaging should possess this setKeywords:Medical Imaging;Systems Technology;Cardiovascular Systems;Brain Systems;General Anatomy;Modalities;Diagnosis Optimization


Signal and Image Analysis for Biomedical and Life Sciences

Signal and Image Analysis for Biomedical and Life Sciences
  • Author : Changming Sun,Tomasz Bednarz,Tuan D. Pham,Pascal Vallotton,Dadong Wang
  • Publisher : Springer
  • Release : 07 November 2014
GET THIS BOOKSignal and Image Analysis for Biomedical and Life Sciences

With an emphasis on applications of computational models for solving modern challenging problems in biomedical and life sciences, this book aims to bring collections of articles from biologists, medical/biomedical and health science researchers together with computational scientists to focus on problems at the frontier of biomedical and life sciences. The goals of this book are to build interactions of scientists across several disciplines and to help industrial users apply advanced computational techniques for solving practical biomedical and life science


Computer Methods and Programs in Biomedical Signal and Image Processing

Computer Methods and Programs in Biomedical Signal and Image Processing
  • Author : Lulu Wang
  • Publisher : BoD – Books on Demand
  • Release : 18 March 2020
GET THIS BOOKComputer Methods and Programs in Biomedical Signal and Image Processing

This book aims to provide a brief update to the current status of and advances in computational methods and programs used for the development of the theory and practice of biomedical signal and image communication. The book comprises a collection of invited manuscripts, written in a convenient way and of manageable length. These timely collections will provide an invaluable resource for initial inquiries into technologies and will encapsulate the latest developments and applications with reference sources for further detailed information.


Multi-Modality Imaging

Multi-Modality Imaging
  • Author : Mauren Abreu de Souza,Humberto Remigio Gamba,Helio Pedrini
  • Publisher : Springer
  • Release : 29 November 2018
GET THIS BOOKMulti-Modality Imaging

This book presents different approaches on multi-modality imaging with a focus on biomedical applications. Medical imaging can be divided into two categories: functional (related to physiological body measurements) and anatomical (structural) imaging modalities. In particular, this book covers imaging combinations coming from the usual popular modalities (such as the anatomical modalities, e.g. X-ray, CT and MRI), and it also includes some promising and new imaging modalities that are still being developed and improved (such as infrared thermography (IRT) and


Computational Tools and Techniques for Biomedical Signal Processing

Computational Tools and Techniques for Biomedical Signal Processing
  • Author : Singh, Butta
  • Publisher : IGI Global
  • Release : 12 August 2016
GET THIS BOOKComputational Tools and Techniques for Biomedical Signal Processing

Biomedical signal processing in the medical field has helped optimize patient care and diagnosis within medical facilities. As technology in this area continues to advance, it has become imperative to evaluate other ways these computation techniques could be implemented. Computational Tools and Techniques for Biomedical Signal Processing investigates high-performance computing techniques being utilized in hospital information systems. Featuring comprehensive coverage on various theoretical perspectives, best practices, and emergent research in the field, this book is ideally suited for computer scientists,


Advances in Computational Intelligence Techniques

Advances in Computational Intelligence Techniques
  • Author : Shruti Jain,Meenakshi Sood,Sudip Paul
  • Publisher : Springer
  • Release : 21 February 2020
GET THIS BOOKAdvances in Computational Intelligence Techniques

This book highlights recent advances in computational intelligence for signal processing, computing, imaging, artificial intelligence, and their applications. It offers support for researchers involved in designing decision support systems to promote the societal acceptance of ambient intelligence, and presents the latest research on diverse topics in intelligence technologies with the goal of advancing knowledge and applications in this rapidly evolving field. As such, it offers a valuable resource for researchers, developers and educators whose work involves recent advances and emerging


Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis

Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis
  • Author : Nilanjan Dey
  • Publisher : Academic Press
  • Release : 31 July 2019
GET THIS BOOKClassification Techniques for Medical Image Analysis and Computer Aided Diagnosis

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


Advances in Computerized Analysis in Clinical and Medical Imaging

Advances in Computerized Analysis in Clinical and Medical Imaging
  • Author : J Dinesh Peter,Steven Lawrence Fernandes,Carlos Eduardo Thomaz
  • Publisher : CRC Press
  • Release : 28 October 2019
GET THIS BOOKAdvances in Computerized Analysis in Clinical and Medical Imaging

Advances in Computerized Analysis in Clinical and Medical Imaging book is devoted for spreading of knowledge through the publication of scholarly research, primarily in the fields of clinical & medical imaging. The types of chapters consented include those that cover the development and implementation of algorithms and strategies based on the use of geometrical, statistical, physical, functional to solve the following types of problems, using medical image datasets: visualization, feature extraction, segmentation, image-guided surgery, representation of pictorial data, statistical shape analysis,


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


Guide to Medical Image Analysis

Guide to Medical Image Analysis
  • Author : Klaus D. Toennies
  • Publisher : Springer
  • Release : 29 March 2017
GET THIS BOOKGuide to Medical Image Analysis

This comprehensive guide provides a uniquely practical, application-focused introduction to medical image analysis. This fully updated new edition has been enhanced with material on the latest developments in the field, whilst retaining the original focus on segmentation, classification and registration. Topics and features: presents learning objectives, exercises and concluding remarks in each chapter; describes a range of common imaging techniques, reconstruction techniques and image artifacts, and discusses the archival and transfer of images; reviews an expanded selection of techniques for