Advanced Machine Vision Paradigms For Medical Image Analysis

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Advanced Machine Vision Paradigms for Medical Image Analysis

Author : Tapan K. Gandhi
Publisher : Academic Press
ISBN 13 : 0128192968
Total Pages : 308 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Advanced Machine Vision Paradigms for Medical Image Analysis by : Tapan K. Gandhi

Download or read book Advanced Machine Vision Paradigms for Medical Image Analysis written by Tapan K. Gandhi and published by Academic Press. This book was released on 2020-08-11 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Alejandro Frangi
Publisher : Academic Press
ISBN 13 : 0128136588
Total Pages : 700 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Medical Image Analysis by : Alejandro Frangi

Download or read book Medical Image Analysis written by Alejandro Frangi and published by Academic Press. This book was released on 2023-09-20 with total page 700 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : S. Kevin Zhou
Publisher : Academic Press
ISBN 13 : 0323858880
Total Pages : 544 pages
Book Rating : 4.3/5 (238 download)

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Book Synopsis Deep Learning for Medical Image Analysis by : S. Kevin Zhou

Download or read book Deep Learning for Medical Image Analysis written by S. Kevin Zhou and published by Academic Press. This book was released on 2023-12-01 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Nilanjan Dey
Publisher : Academic Press
ISBN 13 : 0128131748
Total Pages : 292 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Soft Computing Based Medical Image Analysis by : Nilanjan Dey

Download or read book Soft Computing Based Medical Image Analysis written by Nilanjan Dey and published by Academic Press. This book was released on 2018-01-18 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Approaches to Medical Image Analysis

Author : Reinhard R. Beichel
Publisher : Springer
ISBN 13 : 3540462589
Total Pages : 264 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Computer Vision Approaches to Medical Image Analysis by : Reinhard R. Beichel

Download or read book Computer Vision Approaches to Medical Image Analysis written by Reinhard R. Beichel and published by Springer. This book was released on 2006-10-20 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post proceedings of the international workshop Computer Vision Approaches to Medical Image Analysis, CVAMIA 2006, held in Graz, Austria in May 2006 as a satellite event of the 9th European Conference on Computer Vision, EECV 2006. The 10 revised full papers and 11 revised poster papers presented together with one invited talk were carefully reviewed and selected from 38 submissions.

Medical Image Recognition, Segmentation and Parsing

Author : S. Kevin Zhou
Publisher : Academic Press
ISBN 13 : 0128026766
Total Pages : 542 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Medical Image Recognition, Segmentation and Parsing by : S. Kevin Zhou

Download or read book Medical Image Recognition, Segmentation and Parsing written by S. Kevin Zhou and published by Academic Press. This book was released on 2015-12-11 with total page 542 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the technical problems and solutions for automatically recognizing and parsing a medical image into multiple objects, structures, or anatomies. It gives all the key methods, including state-of- the-art approaches based on machine learning, for recognizing or detecting, parsing or segmenting, a cohort of anatomical structures from a medical image. Written by top experts in Medical Imaging, this book is ideal for university researchers and industry practitioners in medical imaging who want a complete reference on key methods, algorithms and applications in medical image recognition, segmentation and parsing of multiple objects. Learn: Research challenges and problems in medical image recognition, segmentation and parsing of multiple objects Methods and theories for medical image recognition, segmentation and parsing of multiple objects Efficient and effective machine learning solutions based on big datasets Selected applications of medical image parsing using proven algorithms Provides a comprehensive overview of state-of-the-art research on medical image recognition, segmentation, and parsing of multiple objects Presents efficient and effective approaches based on machine learning paradigms to leverage the anatomical context in the medical images, best exemplified by large datasets Includes algorithms for recognizing and parsing of known anatomies for practical applications

High-Performance Medical Image Processing

Author : Sanjay Saxena
Publisher : CRC Press
ISBN 13 : 1000410358
Total Pages : 329 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis High-Performance Medical Image Processing by : Sanjay Saxena

Download or read book High-Performance Medical Image Processing written by Sanjay Saxena and published by CRC Press. This book was released on 2022-07-07 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Developments in Medical Image Processing and Computational Vision

Author : João Manuel R. S. Tavares
Publisher : Springer
ISBN 13 : 3319134078
Total Pages : 395 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Developments in Medical Image Processing and Computational Vision by : João Manuel R. S. Tavares

Download or read book Developments in Medical Image Processing and Computational Vision written by João Manuel R. S. Tavares and published by Springer. This book was released on 2015-04-07 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents novel and advanced topics in Medical Image Processing and Computational Vision in order to solidify knowledge in the related fields and define their key stakeholders. It contains extended versions of selected papers presented in VipIMAGE 2013 – IV International ECCOMAS Thematic Conference on Computational Vision and Medical Image, which took place in Funchal, Madeira, Portugal, 14-16 October 2013. The twenty-two chapters were written by invited experts of international recognition and address important issues in medical image processing and computational vision, including: 3D vision, 3D visualization, colour quantisation, continuum mechanics, data fusion, data mining, face recognition, GPU parallelisation, image acquisition and reconstruction, image and video analysis, image clustering, image registration, image restoring, image segmentation, machine learning, modelling and simulation, object detection, object recognition, object tracking, optical flow, pattern recognition, pose estimation, and texture analysis. Different applications are addressed and described throughout the book, comprising: biomechanical studies, bio-structure modelling and simulation, bone characterization, cell tracking, computer-aided diagnosis, dental imaging, face recognition, hand gestures detection and recognition, human motion analysis, human-computer interaction, image and video understanding, image processing, image segmentation, object and scene reconstruction, object recognition and tracking, remote robot control, and surgery planning. This volume is of use to researchers, students, practitioners and manufacturers from several multidisciplinary fields, such as artificial intelligence, bioengineering, biology, biomechanics, computational mechanics, computational vision, computer graphics, computer science, computer vision, human motion, imagiology, machine learning, machine vision, mathematics, medical image, medicine, pattern recognition, and physics.

Machine Learning and Metaheuristics: Methods and Analysis

Author : Uma N. Dulhare
Publisher : Springer Nature
ISBN 13 : 9819966450
Total Pages : 304 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Machine Learning and Metaheuristics: Methods and Analysis by : Uma N. Dulhare

Download or read book Machine Learning and Metaheuristics: Methods and Analysis written by Uma N. Dulhare and published by Springer Nature. This book was released on 2023-12-03 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

4D Imaging to 4D Printing

Author : Rupinder Singh
Publisher : CRC Press
ISBN 13 : 1000822931
Total Pages : 168 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis 4D Imaging to 4D Printing by : Rupinder Singh

Download or read book 4D Imaging to 4D Printing written by Rupinder Singh and published by CRC Press. This book was released on 2022-12-30 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Natural User Interfaces in Medical Image Analysis

Author : Marek R. Ogiela
Publisher : Springer
ISBN 13 : 3319078003
Total Pages : 288 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Natural User Interfaces in Medical Image Analysis by : Marek R. Ogiela

Download or read book Natural User Interfaces in Medical Image Analysis written by Marek R. Ogiela and published by Springer. This book was released on 2014-06-07 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Computer Vision in Medical Imaging

Author : Chi-hau Chen
Publisher : World Scientific
ISBN 13 : 981446094X
Total Pages : 410 pages
Book Rating : 4.8/5 (144 download)

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Book Synopsis Computer Vision in Medical Imaging by : Chi-hau Chen

Download or read book Computer Vision in Medical Imaging written by Chi-hau Chen and published by World Scientific. This book was released on 2013-11-18 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Medical Imaging and Health Informatics

Author : Tushar H. Jaware
Publisher : John Wiley & Sons
ISBN 13 : 1119819148
Total Pages : 388 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Medical Imaging and Health Informatics by : Tushar H. Jaware

Download or read book Medical Imaging and Health Informatics written by Tushar H. Jaware and published by John Wiley & Sons. This book was released on 2022-05-26 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: MEDICAL IMAGING AND HEALTH INFORMATICS Provides a comprehensive review of artificial intelligence (AI) in medical imaging as well as practical recommendations for the usage of machine learning (ML) and deep learning (DL) techniques for clinical applications. Medical imaging and health informatics is a subfield of science and engineering which applies informatics to medicine and includes the study of design, development, and application of computational innovations to improve healthcare. The health domain has a wide range of challenges that can be addressed using computational approaches; therefore, the use of AI and associated technologies is becoming more common in society and healthcare. Currently, deep learning algorithms are a promising option for automated disease detection with high accuracy. Clinical data analysis employing these deep learning algorithms allows physicians to detect diseases earlier and treat patients more efficiently. Since these technologies have the potential to transform many aspects of patient care, disease detection, disease progression and pharmaceutical organization, approaches such as deep learning algorithms, convolutional neural networks, and image processing techniques are explored in this book. This book also delves into a wide range of image segmentation, classification, registration, computer-aided analysis applications, methodologies, algorithms, platforms, and tools; and gives a holistic approach to the application of AI in healthcare through case studies and innovative applications. It also shows how image processing, machine learning and deep learning techniques can be applied for medical diagnostics in several specific health scenarios such as COVID-19, lung cancer, cardiovascular diseases, breast cancer, liver tumor, bone fractures, etc. Also highlighted are the significant issues and concerns regarding the use of AI in healthcare together with other allied areas, such as the Internet of Things (IoT) and medical informatics, to construct a global multidisciplinary forum. Audience The core audience comprises researchers and industry engineers, scientists, radiologists, healthcare professionals, data scientists who work in health informatics, computer vision and medical image analysis.

Ophthalmic Medical Image Analysis

Author : Huazhu Fu
Publisher : Springer Nature
ISBN 13 : 3030634191
Total Pages : 227 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Ophthalmic Medical Image Analysis by : Huazhu Fu

Download or read book Ophthalmic Medical Image Analysis written by Huazhu Fu and published by Springer Nature. This book was released on 2020-11-20 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 6th International Workshop on Ophthalmic Medical Image Analysis, OMIA 2020, held in conjunction with the 23rd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2020, in Lima, Peru, in October 2020. The workshop was held virtually due to the COVID-19 crisis. The 21 papers presented at OMIA 2020 were carefully reviewed and selected from 34 submissions. The papers cover various topics in the field of ophthalmic medical image analysis and challenges in terms of reliability and validation, number and type of conditions considered, multi-modal analysis (e.g., fundus, optical coherence tomography, scanning laser ophthalmoscopy), novel imaging technologies, and the effective transfer of advanced computer vision and machine learning technologies.

Medical Computer Vision

Author : Bjoern Menze
Publisher : Springer
ISBN 13 : 3642184219
Total Pages : 226 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Medical Computer Vision by : Bjoern Menze

Download or read book Medical Computer Vision written by Bjoern Menze and published by Springer. This book was released on 2011-02-02 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-workshop proceedings of the International Workshop on Medical Computer Vision, MCV 2010, held in Beijing, China, in September 2010 as a satellite event of the 13th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2010. The 10 revised full papers and 11 revised poster papers presented were carefully reviewed and selected from 38 initial submissions. The papers explore the use of modern image recognition technology in tasks such as semantic anatomy parsing, automatic segmentation and quantification, anomaly detection and categorization, data harvesting, semantic navigation and visualization, data organization and clustering, and general-purpose automatic understanding of medical images.

Guide to Medical Image Analysis

Author : Klaus D. Toennies
Publisher : Springer
ISBN 13 : 1447173201
Total Pages : 589 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Guide to Medical Image Analysis by : Klaus D. Toennies

Download or read book Guide to Medical Image Analysis written by Klaus D. Toennies and published by Springer. This book was released on 2017-03-29 with total page 589 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 image enhancement, feature detection, feature generation, segmentation, registration, and validation; examines analysis methods in view of image-based guidance in the operating room (NEW); discusses the use of deep convolutional networks for segmentation and labeling tasks (NEW); includes appendices on Markov random field optimization, variational calculus and principal component analysis.

Computer Vision and Machine Intelligence in Medical Image Analysis

Author : Mousumi Gupta
Publisher : Springer Nature
ISBN 13 : 9811387982
Total Pages : 150 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Computer Vision and Machine Intelligence in Medical Image Analysis by : Mousumi Gupta

Download or read book Computer Vision and Machine Intelligence in Medical Image Analysis written by Mousumi Gupta and published by Springer Nature. This book was released on 2019-08-28 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes high-quality papers presented at the Symposium 2019, organised by Sikkim Manipal Institute of Technology (SMIT), in Sikkim from 26–27 February 2019. It discusses common research problems and challenges in medical image analysis, such as deep learning methods. It also discusses how these theories can be applied to a broad range of application areas, including lung and chest x-ray, breast CAD, microscopy and pathology. The studies included mainly focus on the detection of events from biomedical signals.