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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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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

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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,

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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,

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Computational Techniques for Dental Image Analysis

Computational Techniques for Dental Image Analysis
  • Author : K. Kamalanand,B. Thayumanavan,P. Mannar Jawahar
  • Publisher : Anonim
  • Release : 16 July 2018
GET THIS BOOKComputational Techniques for Dental Image Analysis

"This book brings relevant scientific and technological discussion on computer-based techniques for dental image analysis. Dental image analysis is one of the most challenging research areas of medical image analysis. The advances regarding radiographic techniques and their proper use in this book gives practitioners the opportunity for improvement in diagnosis and treatment planning"--Provided by publisher.

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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,

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pHealth 2020

pHealth 2020
  • Author : B. Blobel,L. Lhotska,P. Pharow
  • Publisher : IOS Press
  • Release : 30 September 2020
GET THIS BOOKpHealth 2020

Smart mobile systems such as microsystems, smart textiles, smart implants, and sensor-controlled medical devices, together with their related networks, have become important enablers for telemedicine and ubiquitous pervasive health to become next-generation health services. This book presents the proceedings of pHealth 2020, held as a virtual conference from 14 – 16 September 2020. This is the 17th in a series of international conferences on wearable or implantable micro and nano technologies for personalized medicine, which bring together expertise from medical, technological, political, administrative, and social

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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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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
  • Publisher : IGI Global
  • Release : 30 September 2013
GET THIS BOOKResearch 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: 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

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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

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Advances in Low-Level Color Image Processing

Advances in Low-Level Color Image Processing
  • Author : M. Emre Celebi,Bogdan Smolka
  • Publisher : Springer Science & Business Media
  • Release : 17 December 2013
GET THIS BOOKAdvances in Low-Level Color Image Processing

Color perception plays an important role in object recognition and scene understanding both for humans and intelligent vision systems. Recent advances in digital color imaging and computer hardware technology have led to an explosion in the use of color images in a variety of applications including medical imaging, content-based image retrieval, biometrics, watermarking, digital inpainting, remote sensing, visual quality inspection, among many others. As a result, automated processing and analysis of color images has become an active area of research,

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Advances in Computational Vision and Medical Image Processing

Advances in Computational Vision and Medical Image Processing
  • Author : Joao Tavares,Renato Natal Jorge
  • Publisher : Springer
  • Release : 29 August 2009
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,

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Deep Learning for Medical Image Analysis

Deep Learning for Medical Image Analysis
  • Author : S. Kevin Zhou,Hayit Greenspan,Dinggang Shen
  • Publisher : Academic Press
  • Release : 18 January 2017
GET THIS BOOKDeep 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 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

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Advances in Biomedical Engineering and Technology

Advances in Biomedical Engineering and Technology
  • Author : Albert A. Rizvanov
  • Publisher : Springer Nature
  • Release : 21 January 2022
GET THIS BOOKAdvances in Biomedical Engineering and Technology

This book comprises select peer-reviewed papers presented at the International Conference on Biomedical Engineering Science and Technology: Roadway from Laboratory to Market (ICBEST 2018) organized by Department of Biomedical Engineering, National Institute of Technology Raipur, Chhattisgarh, India. The book covers latest research in a wide range of biomedical technologies ranging from biomechanics, biomaterials, biomedical instrumentation to tele-medicine, internet of things, bioinformatics, medical signal and image processing. The contents aim to bridge the gap between laboratory research and feasible market products by

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