Advanced Machine Vision Paradigms For Medical Image Analysis PDF Download

Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Advanced Machine Vision Paradigms For Medical Image Analysis PDF full book. Access full book title Advanced Machine Vision Paradigms For Medical Image Analysis.

Advanced Machine Vision Paradigms for Medical Image Analysis

Advanced Machine Vision Paradigms for Medical Image Analysis
Author: Tapan K. Gandhi
Publisher: Academic Press
Total Pages: 308
Release: 2020-08-11
Genre: Computers
ISBN: 0128192968
GET BOOK

Download Advanced Machine Vision Paradigms for Medical Image Analysis Book in PDF, ePub and Kindle

Computer vision and machine intelligence paradigms are prominent in the domain of medical image applications, including computer assisted diagnosis, image guided radiation therapy, landmark detection, imaging genomics, and brain connectomics. Medical image analysis and understanding are daunting tasks owing to the massive influx of multi-modal medical image data generated during routine clinal practice. Advanced computer vision and machine intelligence approaches have been employed in recent years in the field of image processing and computer vision. However, due to the unstructured nature of medical imaging data and the volume of data produced during routine clinical processes, the applicability of these meta-heuristic algorithms remains to be investigated. Advanced Machine Vision Paradigms for Medical Image Analysis presents an overview of how medical imaging data can be analyzed to provide better diagnosis and treatment of disease. Computer vision techniques can explore texture, shape, contour and prior knowledge along with contextual information, from image sequence and 3D/4D information which helps with better human understanding. Many powerful tools have been developed through image segmentation, machine learning, pattern classification, tracking, and reconstruction to surface much needed quantitative information not easily available through the analysis of trained human specialists. The aim of the book is for medical imaging professionals to acquire and interpret the data, and for computer vision professionals to learn how to provide enhanced medical information by using computer vision techniques. The ultimate objective is to benefit patients without adding to already high healthcare costs. Explores major emerging trends in technology which are supporting the current advancement of medical image analysis with the help of computational intelligence Highlights the advancement of conventional approaches in the field of medical image processing Investigates novel techniques and reviews the state-of-the-art in the areas of machine learning, computer vision, soft computing techniques, as well as their applications in medical image analysis

Medical Image Analysis

Medical Image Analysis
Author: Alejandro Frangi
Publisher: Academic Press
Total Pages: 700
Release: 2023-09-20
Genre: Technology & Engineering
ISBN: 0128136588
GET BOOK

Download Medical Image Analysis Book in PDF, ePub and Kindle

Medical Image Analysis presents practical knowledge on medical image computing and analysis as written by top educators and experts. This text is a modern, practical, self-contained reference that conveys a mix of fundamental methodological concepts within different medical domains. Sections cover core representations and properties of digital images and image enhancement techniques, advanced image computing methods (including segmentation, registration, motion and shape analysis), machine learning, how medical image computing (MIC) is used in clinical and medical research, and how to identify alternative strategies and employ software tools to solve typical problems in MIC. Provides an authoritative description of key concepts and methods Includes tutorial-based sections that clearly explain principles and their application to different medical domains Presents a representative selection of topics to match a modern and relevant approach to medical image computing

Deep Learning for Medical Image Analysis

Deep Learning for Medical Image Analysis
Author: S. Kevin Zhou
Publisher: Academic Press
Total Pages: 544
Release: 2023-12-01
Genre: Computers
ISBN: 0323858880
GET BOOK

Download Deep Learning for Medical Image Analysis Book in PDF, ePub and Kindle

Deep Learning for Medical Image Analysis, Second Edition is a great learning resource for academic and industry researchers and graduate students taking courses on machine learning and deep learning for computer vision and medical image computing and analysis. Deep learning provides exciting solutions for medical image analysis problems and is 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 are applied to medical image detection, segmentation, registration, and computer-aided analysis. · Covers common research problems in medical image analysis and their challenges · Describes the latest deep learning methods and the theories behind approaches for medical image analysis · Teaches how algorithms are applied to a broad range of application areas including cardiac, neural and functional, colonoscopy, OCTA applications and model assessment · Includes a Foreword written by Nicholas Ayache

Soft Computing Based Medical Image Analysis

Soft Computing Based Medical Image Analysis
Author: Nilanjan Dey
Publisher: Academic Press
Total Pages: 292
Release: 2018-01-18
Genre: Technology & Engineering
ISBN: 0128131748
GET BOOK

Download Soft Computing Based Medical Image Analysis Book in PDF, ePub and Kindle

Soft Computing Based Medical Image Analysis presents the foremost techniques of soft computing in medical image analysis and processing. It includes image enhancement, segmentation, classification-based soft computing, and their application in diagnostic imaging, as well as an extensive background for the development of intelligent systems based on soft computing used in medical image analysis and processing. The book introduces the theory and concepts of digital image analysis and processing based on soft computing with real-world medical imaging applications. Comparative studies for soft computing based medical imaging techniques and traditional approaches in medicine are addressed, providing flexible and sophisticated application-oriented solutions. Covers numerous soft computing approaches, including fuzzy logic, neural networks, evolutionary computing, rough sets and Swarm intelligence Presents transverse research in soft computing formation from various engineering and industrial sectors in the medical domain Highlights challenges and the future scope for soft computing based medical analysis and processing techniques

Computer Vision in Medical Imaging

Computer Vision in Medical Imaging
Author: Chi-hau Chen
Publisher: World Scientific
Total Pages: 410
Release: 2013-11-18
Genre: Medical
ISBN: 981446094X
GET BOOK

Download Computer Vision in Medical Imaging Book in PDF, ePub and Kindle

The major progress in computer vision allows us to make extensive use of medical imaging data to provide us better diagnosis, treatment and predication of diseases. Computer vision can exploit texture, shape, contour and prior knowledge along with contextual information from image sequence and provide 3D and 4D information that helps with better human understanding. Many powerful tools have been available through image segmentation, machine learning, pattern classification, tracking, reconstruction to bring much needed quantitative information not easily available by trained human specialists. The aim of the book is for both medical imaging professionals to acquire and interpret the data, and computer vision professionals to provide enhanced medical information by using computer vision techniques. The final objective is to benefit the patients without adding to the already high medical costs.

Natural User Interfaces in Medical Image Analysis

Natural User Interfaces in Medical Image Analysis
Author: Marek R. Ogiela
Publisher: Springer
Total Pages: 296
Release: 2014-06-07
Genre: Computers
ISBN: 3319078003
GET BOOK

Download Natural User Interfaces in Medical Image Analysis Book in PDF, ePub and Kindle

This unique text/reference highlights a selection of practical applications of advanced image analysis methods for medical images. The book covers the complete methodology for processing, analysing and interpreting diagnostic results of sample CT images. The text also presents significant problems related to new approaches and paradigms in image understanding and semantic image analysis. To further engage the reader, example source code is provided for the implemented algorithms in the described solutions. Features: describes the most important methods and algorithms used for image analysis; examines the fundamentals of cognitive computer image analysis for computer-aided diagnosis and semantic image description; presents original approaches for the semantic analysis of CT perfusion and CT angiography images of the brain and carotid artery; discusses techniques for creating 3D visualisations of large datasets; reviews natural user interfaces in medical imaging systems, including GDL technology.

Machine Learning and Metaheuristics: Methods and Analysis

Machine Learning and Metaheuristics: Methods and Analysis
Author: Uma N. Dulhare
Publisher: Springer Nature
Total Pages: 304
Release: 2023-12-03
Genre: Technology & Engineering
ISBN: 9819966450
GET BOOK

Download Machine Learning and Metaheuristics: Methods and Analysis Book in PDF, ePub and Kindle

This book takes a balanced approach between theoretical understanding and real-time applications. All the topics included real-world problems which show how to explore, build, evaluate, and optimize machine learning models fusion with metaheuristic algorithms. Optimization algorithms classified into two broad categories as deterministic and probabilistic algorithms. The content of book elaborates optimization algorithms such as particle swarm optimization, ant colony optimization, whale search algorithm, and cuckoo search algorithm.

High-Performance Medical Image Processing

High-Performance Medical Image Processing
Author: Sanjay Saxena
Publisher: CRC Press
Total Pages: 329
Release: 2022-07-07
Genre: Computers
ISBN: 1000410358
GET BOOK

Download High-Performance Medical Image Processing Book in PDF, ePub and Kindle

The processing of medical images in a reasonable timeframe and with high definition is very challenging. This volume helps to meet that challenge by presenting a thorough overview of medical imaging modalities, its processing, high-performance computing, and the need to embed parallelism in medical image processing techniques to achieve efficient and fast results. With contributions from researchers from prestigious laboratories and educational institutions, High-Performance Medical Image Processing provides important information on medical image processing techniques, parallel computing techniques, and embedding parallelism in different image processing techniques. A comprehensive review of parallel algorithms in medical image processing problems is a key feature of this book. The volume presents the relevant theoretical frameworks and the latest empirical research findings in the area and provides detailed descriptions about the diverse high-performance techniques. Topics discussed include parallel computing, multicore architectures and their applications in image processing, machine learning applications, conventional and advanced magnetic resonance imaging methods, hyperspectral image processing, algorithms for segmenting 2D slices for 3D viewing, and more. Case studies, such as on the detection of cancer tumors, expound on the information presented. Key features: Provides descriptions of different medical imaging modalities and their applications Discusses the basics and advanced aspects of parallel computing with different multicore architectures Expounds on the need for embedding data and task parallelism in different medical image processing techniques Presents helpful examples and case studies of the discussed methods This book will be valuable for professionals, researchers, and students working in the field of healthcare engineering, medical imaging technology, applications in machine and deep learning, and more. It is also appropriate for courses in computer engineering, biomedical engineering and electrical engineering based on artificial intelligence, parallel computing, high performance computing, and machine learning and its applications in medical imaging.

4D Imaging to 4D Printing

4D Imaging to 4D Printing
Author: Rupinder Singh
Publisher: CRC Press
Total Pages: 168
Release: 2022-12-30
Genre: Medical
ISBN: 1000822931
GET BOOK

Download 4D Imaging to 4D Printing Book in PDF, ePub and Kindle

This book focuses on applications of 4D imaging and 4D printing for development of low-cost, indigenous lab-scale solutions for various biomedical applications. It is based on a selection of benchmark open-source 4D imaging solutions including the effect of different stimulus (such as light, electric field, magnetic field, mechanical load, thermal, hydro, and so forth) to better understand 4D capabilities of printed components. The material is covered across nine chapters dedicated to 4D imaging, 4D printing, and their specific biomedical applications illustrated via case studies related to orthopaedic and dental requirements of veterinary patients. The book: •Presents exclusive material on the integration of 4D imaging and 4D printing •Demonstrates the industrial applications of 4D imaging in 4D printing using multiple case studies •Discusses use of open-source 4D imaging tools for biomedical applications •Includes in-house development of smart materials for 4D printing •Reviews low-cost, indigenous lab-scale solutions for various veterinary applications. This book is aimed at graduate students and researchers in Additive Manufacturing, Manufacturing Engineering, Production Engineering, Mechanical Engineering, and Materials Engineering.

Medical Image Analysis

Medical Image Analysis
Author: Atam P. Dhawan
Publisher: John Wiley & Sons
Total Pages: 396
Release: 2011-03-29
Genre: Technology & Engineering
ISBN: 0470922893
GET BOOK

Download Medical Image Analysis Book in PDF, ePub and Kindle

The expanded and revised edition will split Chapter 4 to include more details and examples in FMRI, DTI, and DWI for MR image modalities. The book will also expand ultrasound imaging to 3-D dynamic contrast ultrasound imaging in a separate chapter. A new chapter on Optical Imaging Modalities elaborating microscopy, confocal microscopy, endoscopy, optical coherent tomography, fluorescence and molecular imaging will be added. Another new chapter on Simultaneous Multi-Modality Medical Imaging including CT-SPECT and CT-PET will also be added. In the image analysis part, chapters on image reconstructions and visualizations will be significantly enhanced to include, respectively, 3-D fast statistical estimation based reconstruction methods, and 3-D image fusion and visualization overlaying multi-modality imaging and information. A new chapter on Computer-Aided Diagnosis and image guided surgery, and surgical and therapeutic intervention will also be added. A companion site containing power point slides, author biography, corrections to the first edition and images from the text can be found here: ftp://ftp.wiley.com/public/sci_tech_med/medical_image/ Send an email to: [email protected] to obtain a solutions manual. Please include your affiliation in your email.