Texture Analysis For Magnetic Resonance Imaging


Texture Analysis For Magnetic Resonance Imaging
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Texture Analysis For Magnetic Resonance Imaging


Texture Analysis For Magnetic Resonance Imaging
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Author : Milan Hájek
language : en
Publisher: Texture Analysis Magn Resona
Release Date : 2006

Texture Analysis For Magnetic Resonance Imaging written by Milan Hájek and has been published by Texture Analysis Magn Resona this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Magnetic resonance imaging categories.




Handbook Of Texture Analysis


Handbook Of Texture Analysis
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Author : Ayman El-Baz
language : en
Publisher: CRC Press
Release Date : 2024-06-21

Handbook Of Texture Analysis written by Ayman El-Baz and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-21 with Computers categories.


The major goals of texture research in computer vision are to understand, model, and process texture and, ultimately, to simulate the human visual learning process using computer technologies. In the last decade, artificial intelligence has been revolutionized by machine learning and big data approaches, outperforming human prediction on a wide range of problems. In particular, deep learning convolutional neural networks (CNNs) are particularly well suited to texture analysis. This volume presents important branches of texture analysis methods which find a proper application in AI-based medical image analysis. This book: Discusses first-order, second-order statistical methods, local binary pattern (LBP) methods, and filter bank-based methods Covers spatial frequency-based methods, Fourier analysis, Markov random fields, Gabor filters, and Hough transformation Describes advanced textural methods based on DL as well as BD and advanced applications of texture to medial image segmentation Is aimed at researchers, academics, and advanced students in biomedical engineering, image analysis, cognitive science, and computer science and engineering This is an essential reference for those looking to advance their understanding in this applied and emergent field.



Handbook Of Texture Analysis


Handbook Of Texture Analysis
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Author : Ayman El-Baz
language : en
Publisher: CRC Press
Release Date : 2024-06-24

Handbook Of Texture Analysis written by Ayman El-Baz and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-24 with Computers categories.


The major goals of texture research in computer vision are to understand, model, and process texture, and ultimately, to simulate the human visual learning process using computer technologies. In the last decade, artificial intelligence has been revolutionized by machine learning and big data approaches, outperforming human prediction on a wide range of problems. In particular, deep learning convolutional neural networks (CNNs) are particularly well suited to texture analysis. This book examines four major application domains related to texture analysis and their relationship to AI-based industrial applications: texture classification, texture segmentation, shape from texture, and texture synthesis. This volume: Discusses texture-based segmentation for extracting image shape features, modeling and segmentation of noisy and textured images, spatially constrained color-texture model for image segmentation, and texture segmentation using Gabor filters Examines textural features for image classification, a statistical approach for classification, texture classification from random features, and applications of texture classifications Describes shape from texture, including general principles, 3D shapes, and equations for recovering shape from texture Surveys texture modeling, including extraction based on Hough transformation and cycle detection, image quilting, gray level run lengths, and use of Markov random fields Aimed at researchers, academics, and advanced students in biomedical engineering, image analysis, cognitive science, and computer science and engineering, this is an essential reference for those looking to advance their understanding in this applied and emergent field.



Imaging Of Brain Tumors An Issue Of Magnetic Resonance Imaging Clinics Of North America


Imaging Of Brain Tumors An Issue Of Magnetic Resonance Imaging Clinics Of North America
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Author : Rivka R. Colen
language : en
Publisher: Elsevier Health Sciences
Release Date : 2016-10-15

Imaging Of Brain Tumors An Issue Of Magnetic Resonance Imaging Clinics Of North America written by Rivka R. Colen and has been published by Elsevier Health Sciences this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-15 with Medical categories.


This issue of MRI Clinics of North America focuses on Imaging of Brain Tumors, and is edited by Dr. Rivka Colen. Articles will include: Multiparametric Imaging Analysis: MR Spectroscopy; Genomics and MicroRNAs in Glioma; Metabolomics and Hyperpolarization MRI in Brain Tumors; Imaging Genomics in Glioma; Radiomics and Big Data in Imaging; RANO Criteria and Clinical Endpoints; Gliomas: The New WHO Brain Tumor Pathological/Molecular Classification and Clinical and Radiographic Classifications; Liposomal Contrast Agents and Nanoparticles in Brain Tumor Imaging; Multiparametric Imaging Analysis: Perfusion, and more!



Handbook Of Texture Analysis


Handbook Of Texture Analysis
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Author : Ayman El-Baz
language : en
Publisher: CRC Press
Release Date : 2024-06-24

Handbook Of Texture Analysis written by Ayman El-Baz and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-24 with Computers categories.


The major goals of texture research in computer vision are to understand, model, and process texture, and ultimately, to simulate the human visual learning process using computer technologies. In the last decade, artificial intelligence has been revolutionized by machine learning and big data approaches, outperforming human prediction on a wide range of problems. In particular, deep learning convolutional neural networks (CNNs) are particularly well suited to texture analysis. This book examines four major application domains related to texture analysis and their relationship to AI-based industrial applications: texture classification, texture segmentation, shape from texture, and texture synthesis. This volume: Discusses texture-based segmentation for extracting image shape features, modeling and segmentation of noisy and textured images, spatially constrained color-texture model for image segmentation, and texture segmentation using Gabor filters Examines textural features for image classification, a statistical approach for classification, texture classification from random features, and applications of texture classifications Describes shape from texture, including general principles, 3D shapes, and equations for recovering shape from texture Surveys texture modeling, including extraction based on Hough transformation and cycle detection, image quilting, gray level run lengths, and use of Markov random fields Aimed at researchers, academics, and advanced students in biomedical engineering, image analysis, cognitive science, and computer science and engineering, this is an essential reference for those looking to advance their understanding in this applied and emergent field.



Computational Vision And Medical Image Processing


Computational Vision And Medical Image Processing
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Author : João Manuel R.S. Tavares
language : en
Publisher: CRC Press
Release Date : 2009-10-01

Computational Vision And Medical Image Processing written by João Manuel R.S. Tavares and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-10-01 with Medical categories.


Computational Vision and Medical Image Processing, VIPIMAGE 2009 contains the full papers presented at VIPIMAGE 2009 - Second ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing, held in Porto, Portugal, on 14-16 October 2009. International contributions from twenty countries provide a comprehensive coverage of the current state-of-the-art in the fields of: Image Processing and Analysis; Tracking and Analyze Objects in Images; Segmentation of Objects in Images; 3D Vision; Signal Processing; Data Interpolation, Registration, Acquisition and Compression; Objects Simulation; Virtual Reality; Software Development for Image Processing and Analysis; Computer Aided Diagnosis, Surgery, Therapy and Treatment; Computational Bioimaging and Visualization; Telemedicine Systems and their Applications. Related techniques covered in Computational Vision and Medical Image Processing, VIPIMAGE 2009 include the level set method, finite element method, modal analyses, stochastic methods, principal and independent components analyses and distribution models. The volume will be useful to academics, researchers and professionals in Computational Vision (image processing and analysis), Computer Sciences, Computational Mechanics and Medicine.



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
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Author : Christakis Constantinides
language : en
Publisher: BoD – Books on Demand
Release Date : 2016-10-26

Assessment Of Cellular And Organ Function And Dysfunction Using Direct And Derived Mri Methodologies written by Christakis Constantinides and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-26 with Medical categories.


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 evaluation of their potential translational value for use in the clinic. The integrative focus on molecular-cellular-tissue-organ function and dysfunction has taken a primary role in modern, personalized medicine, and it is envisaged to continue to do so, as accumulated knowledge from basic and clinical science work continues to elucidate molecular, cellular, and physiological/pathophysiological pathways and mechanisms. In this scientific effort, MRI continues to play a critical and synergistic role from the perspectives of basic science, diagnosis, and clinical interventional/therapeutic approaches. Within the realm of the current role of MRI in modern medicine, this book summarizes state-of-the-art direct and derived MRI methodologies and approaches as applied toward the assessment of cellular and organ function and dysfunction. The contributions in this effort are not excessive but few, comprehensive, and distinguished and of high quality. The topic areas can be generalized to find applications in other scientific areas and span both brain and cardiac applications, extending interest to wider audiences.



Advances In Distributed Computing And Machine Learning


Advances In Distributed Computing And Machine Learning
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Author : Jyoti Prakash Sahoo
language : en
Publisher: Springer
Release Date : 2022-12-20

Advances In Distributed Computing And Machine Learning written by Jyoti Prakash Sahoo and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-20 with Technology & Engineering categories.


This book presents recent advances in the field of scalable distributed computing including state-of-the-art research in the field of Cloud Computing, the Internet of Things (IoT), and Blockchain in distributed environments along with applications and findings in broad areas including Data Analytics, AI, and Machine Learning to address complex real-world problems. It features selected high-quality research papers from the 2nd International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2021), organized by the Department of Computer Science and Information Technology, Institute of Technical Education and Research(ITER), Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, India.



Biomedical Texture Analysis


Biomedical Texture Analysis
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Author : Adrien Depeursinge
language : en
Publisher: Academic Press
Release Date : 2017-08-25

Biomedical Texture Analysis written by Adrien Depeursinge and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-25 with Computers categories.


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



Computers In Medical Activity


Computers In Medical Activity
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Author : Edward Kacki
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-10-13

Computers In Medical Activity written by Edward Kacki and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-10-13 with Technology & Engineering categories.


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 the equipment of the medical activity and the general problems connected with the organization the medical care.