Parametric and Nonparametric Techniques in Medical Image De noising and Restoration

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  • Publisher : Academic Press
  • Release : 15 September 2022
  • ISBN : 0323898181
  • Page : 160 pages
  • Rating : 4.5/5 from 103 voters

Parametric and Nonparametric Techniques in Medical Image De noising and Restoration Book PDF summary

Despite advancements in medical imaging modalities, build-up of noise and distortion is still an issue faced by users of medical imaging technology. Consequently, de-noising procedures are developed to preserve the quality of the textured image by removing the noise encountered. Parametric and Nonparametric Techniques in Medical Image De-noising and Restoration explores the different medical image de-noising techniques for medical image quality enhancement. It introduces soft computing and optimization techniques and reports on the challenges of medical image denoising, also highlighting artifacts and noise sources in different imaging modalities and discussing performance evaluation metrics. This is a key reference for anyone involved in medical imaging who is looking to learn about both the parametric and non-parametric approaches available and apply them to their own work and research. Explores the types of denoising and restoration with different noise sources of each medical modality Emphasizes the different approaches of denoising and restoration, including parametric and nonparametric techniques Provides applied examples of medical image denoising

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Parametric and Nonparametric Techniques in Medical Image De-noising and Restoration

Parametric and Nonparametric Techniques in Medical Image De-noising and Restoration
  • Author : Amira S. Ashour,Nilanjan Dey
  • Publisher : Academic Press
  • Release Date : 2022-09-15
  • ISBN : 0323898181
DOWNLOAD BOOKParametric and Nonparametric Techniques in Medical Image De-noising and Restoration

Despite advancements in medical imaging modalities, build-up of noise and distortion is still an issue faced by users of medical imaging technology. Consequently, de-noising procedures are developed to preserve the quality of the textured image by removing the noise encountered. Parametric and Nonparametric Techniques in Medical Image De-noising and Restoration explores the different medical image de-noising techniques for medical image quality enhancement. It introduces soft computing and optimization techniques and reports on the challenges of medical image denoising, also highlighting

Patch-Based Techniques in Medical Imaging

Patch-Based Techniques in Medical Imaging
  • Author : Guorong Wu,Pierrick Coupé,Yiqiang Zhan,Brent Munsell,Daniel Rueckert
  • Publisher : Springer
  • Release Date : 2016-01-07
  • ISBN : 9783319281940
DOWNLOAD BOOKPatch-Based Techniques in Medical Imaging

This book constitutes the thoroughly refereed post-workshop proceedings of the First International Workshop on Patch-based Techniques in Medical Images, Patch-MI 2015, which was held in conjunction with MICCAI 2015, in Munich, Germany, in October 2015. The 25 full papers presented in this volume were carefully reviewed and selected from 35 submissions. The topics covered are such as image segmentation of anatomical structures or lesions; image enhancement; computer-aided prognostic and diagnostic; multi-modality fusion; mono and multi modal image synthesis; image retrieval; dynamic, functional physiologic and anatomic

Big Data in Multimodal Medical Imaging

Big Data in Multimodal Medical Imaging
  • Author : Ayman El-Baz,Jasjit S. Suri
  • Publisher : CRC Press
  • Release Date : 2019-11-06
  • ISBN : 9781351380720
DOWNLOAD BOOKBig Data in Multimodal Medical Imaging

There is an urgent need to develop and integrate new statistical, mathematical, visualization, and computational models with the ability to analyze Big Data in order to retrieve useful information to aid clinicians in accurately diagnosing and treating patients. The main focus of this book is to review and summarize state-of-the-art big data and deep learning approaches to analyze and integrate multiple data types for the creation of a decision matrix to aid clinicians in the early diagnosis and identification of

Topics in Nonparametric Statistics

Topics in Nonparametric Statistics
  • Author : Michael G. Akritas,S. N. Lahiri,Dimitris N. Politis
  • Publisher : Springer
  • Release Date : 2014-12-02
  • ISBN : 9781493905690
DOWNLOAD BOOKTopics in Nonparametric Statistics

This volume is composed of peer-reviewed papers that have developed from the First Conference of the International Society for Non Parametric Statistics (ISNPS). This inaugural conference took place in Chalkidiki, Greece, June 15-19, 2012. It was organized with the co-sponsorship of the IMS, the ISI and other organizations. M.G. Akritas, S.N. Lahiri and D.N. Politis are the first executive committee members of ISNPS and the editors of this volume. ISNPS has a distinguished Advisory Committee that includes Professors

Emission Tomography

Emission Tomography
  • Author : Miles N. Wernick,John N. Aarsvold
  • Publisher : Elsevier
  • Release Date : 2004-12-07
  • ISBN : 0080521878
DOWNLOAD BOOKEmission Tomography

PET and SPECT are two of today’s most important medical-imaging methods, providing images that reveal subtle information about physiological processes in humans and animals. Emission Tomography: The Fundamentals of PET and SPECT explains the physics and engineering principles of these important functional-imaging methods. The technology of emission tomography is covered in detail, including historical origins, scientific and mathematical foundations, imaging systems and their components, image reconstruction and analysis, simulation techniques, and clinical and laboratory applications. The book describes the

Blind Image Deconvolution

Blind Image Deconvolution
  • Author : Patrizio Campisi,Karen Egiazarian
  • Publisher : CRC Press
  • Release Date : 2017-12-19
  • ISBN : 9781351837682
DOWNLOAD BOOKBlind Image Deconvolution

Blind image deconvolution is constantly receiving increasing attention from the academic as well the industrial world due to both its theoretical and practical implications. The field of blind image deconvolution has several applications in different areas such as image restoration, microscopy, medical imaging, biological imaging, remote sensing, astronomy, nondestructive testing, geophysical prospecting, and many others. Blind Image Deconvolution: Theory and Applications surveys the current state of research and practice as presented by the most recognized experts in the field, thus

Stanford Bulletin

Stanford Bulletin
  • Author : Anonim
  • Publisher : Unknown
  • Release Date : 2004
  • ISBN : STANFORD:36105005080622
DOWNLOAD BOOKStanford Bulletin

Recent Advances in Signal Processing

Recent Advances in Signal Processing
  • Author : Ashraf Zaher
  • Publisher : BoD – Books on Demand
  • Release Date : 2009-11-01
  • ISBN : 9789533070025
DOWNLOAD BOOKRecent Advances in Signal Processing

The signal processing task is a very critical issue in the majority of new technological inventions and challenges in a variety of applications in both science and engineering fields. Classical signal processing techniques have largely worked with mathematical models that are linear, local, stationary, and Gaussian. They have always favored closed-form tractability over real-world accuracy. These constraints were imposed by the lack of powerful computing tools. During the last few decades, signal processing theories, developments, and applications have matured rapidly