Computational Retinal Image Analysis

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Computational Retinal Image Analysis

Emanuele Trucco,Tom MacGillivray,Yanwu Xu
Computational Retinal Image Analysis Book PDF

Author : Emanuele Trucco,Tom MacGillivray,Yanwu Xu
Publisher : Academic Press
Page : 506 pages
File Size : 51,5 Mb
Release : 2019-11-19
Category : Computers
ISBN : 9780081028179

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Computational Retinal Image Analysis by Emanuele Trucco,Tom MacGillivray,Yanwu Xu Pdf

Computational Retinal Image Analysis: Tools, Applications and Perspectives gives an overview of contemporary retinal image analysis (RIA) in the context of healthcare informatics and artificial intelligence. Specifically, it provides a history of the field, the clinical motivation for RIA, technical foundations (image acquisition modalities, instruments), computational techniques for essential operations, lesion detection (e.g. optic disc in glaucoma, microaneurysms in diabetes) and validation, as well as insights into current investigations drawing from artificial intelligence and big data. This comprehensive reference is ideal for researchers and graduate students in retinal image analysis, computational ophthalmology, artificial intelligence, biomedical engineering, health informatics, and more. Provides a unique, well-structured and integrated overview of retinal image analysis Gives insights into future areas, such as large-scale screening programs, precision medicine, and computer-assisted eye care Includes plans and aspirations of companies and professional bodies

Computational Analysis of the Human Eye with Applications

Sumeet Dua,Rajendra Acharya U,E. Y. K. Ng
Computational Analysis of the Human Eye with Applications Book PDF

Author : Sumeet Dua,Rajendra Acharya U,E. Y. K. Ng
Publisher : World Scientific
Page : 467 pages
File Size : 51,6 Mb
Release : 2011
Category : Technology & Engineering
ISBN : 9789814340298

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Computational Analysis of the Human Eye with Applications by Sumeet Dua,Rajendra Acharya U,E. Y. K. Ng Pdf

Advances in semi-automated high-throughput image data collection routines, coupled with a decline in storage costs and an increase in high-performance computing solutions have led to an exponential surge in data collected by biomedical scientists and medical practitioners. Interpreting this raw data is a challenging task, and nowhere is this more evident than in the field of opthalmology. The sheer speed at which data on cataracts, diabetic retinopathy, glaucoma and other eye disorders are collected, makes it impossible for the human observer to directly monitor subtle, yet critical details. This book is a novel and well-timed endeavor to present, in an amalgamated format, computational image modeling methods as applied to various extrinsic scientific problems in ophthalmology. It is self-contained and presents a highly comprehensive array of image modeling algorithms and methodologies relevant to ophthalmologic problems. The book is the first of its kind, bringing eye imaging and multi-dimensional hyperspectral imaging and data fusion of the human eye, into focus. The editors are at the top of their fields and bring a strong multidisciplinary synergy to this visionary volume. Their "inverted-pyramid" approach in presenting the content, and focus on core applications, will appeal to students and practitioners in the field.

Computational Methods and Deep Learning for Ophthalmology

D. Jude Hemanth
Computational Methods and Deep Learning for Ophthalmology Book PDF

Author : D. Jude Hemanth
Publisher : Elsevier
Page : 250 pages
File Size : 47,9 Mb
Release : 2023-03
Category : Computers
ISBN : 9780323954150

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Computational Methods and Deep Learning for Ophthalmology by D. Jude Hemanth Pdf

Computational Methods and Deep Learning for Ophthalmology presents readers with the concepts and methods needed to design and use advanced computer-aided diagnosis systems for ophthalmologic abnormalities in the human eye. Chapters cover computational approaches for diagnosis and assessment of a variety of ophthalmologic abnormalities. Computational approaches include topics such as Deep Convolutional Neural Networks, Generative Adversarial Networks, Auto Encoders, Recurrent Neural Networks, and modified/hybrid Artificial Neural Networks. Ophthalmological abnormalities covered include Glaucoma, Diabetic Retinopathy, Macular Degeneration, Retinal Vein Occlusions, eye lesions, cataracts, and optical nerve disorders. This handbook provides biomedical engineers, computer scientists, and multidisciplinary researchers with a significant resource for addressing the increase in the prevalence of diseases such as Diabetic Retinopathy, Glaucoma, and Macular Degeneration.

Front-End Vision and Multi-Scale Image Analysis

Bart M. Haar Romeny
Front End Vision and Multi Scale Image Analysis Book PDF

Author : Bart M. Haar Romeny
Publisher : Springer Science & Business Media
Page : 466 pages
File Size : 43,9 Mb
Release : 2008-10-24
Category : Computers
ISBN : 9781402088407

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Front-End Vision and Multi-Scale Image Analysis by Bart M. Haar Romeny Pdf

Many approaches have been proposed to solve the problem of finding the optic flow field of an image sequence. Three major classes of optic flow computation techniques can discriminated (see for a good overview Beauchemin and Barron IBeauchemin19951): gradient based (or differential) methods; phase based (or frequency domain) methods; correlation based (or area) methods; feature point (or sparse data) tracking methods; In this chapter we compute the optic flow as a dense optic flow field with a multi scale differential method. The method, originally proposed by Florack and Nielsen [Florack1998a] is known as the Multiscale Optic Flow Constrain Equation (MOFCE). This is a scale space version of the well known computer vision implementation of the optic flow constraint equation, as originally proposed by Horn and Schunck [Horn1981]. This scale space variation, as usual, consists of the introduction of the aperture of the observation in the process. The application to stereo has been described by Maas et al. [Maas 1995a, Maas 1996a]. Of course, difficulties arise when structure emerges or disappears, such as with occlusion, cloud formation etc. Then knowledge is needed about the processes and objects involved. In this chapter we focus on the scale space approach to the local measurement of optic flow, as we may expect the visual front end to do. 17. 2 Motion detection with pairs of receptive fields As a biologically motivated start, we begin with discussing some neurophysiological findings in the visual system with respect to motion detection.

Image Analysis and Modeling in Ophthalmology

Eddie Y. K. Ng,U. Rajendra Acharya,Jasjit S. Suri,Aurelio Campilho
Image Analysis and Modeling in Ophthalmology Book PDF

Author : Eddie Y. K. Ng,U. Rajendra Acharya,Jasjit S. Suri,Aurelio Campilho
Publisher : CRC Press
Page : 412 pages
File Size : 55,6 Mb
Release : 2014-02-11
Category : Technology & Engineering
ISBN : 9781466559301

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Image Analysis and Modeling in Ophthalmology by Eddie Y. K. Ng,U. Rajendra Acharya,Jasjit S. Suri,Aurelio Campilho Pdf

Digital fundus images can effectively diagnose glaucoma and diabetes retinopathy, while infrared imaging can show changes in the vascular tissues. Likening the eye to the conventional camera, Image Analysis and Modeling in Ophthalmology explores the application of advanced image processing in ocular imaging. This book considers how images can be used to effectively diagnose ophthalmologic problems. It introduces multi-modality image processing algorithms as a means for analyzing subtle changes in the eye. It details eye imaging, textural imaging, and modeling, and highlights specific imaging and modeling techniques. The book covers the detection of diabetes retinopathy, glaucoma, anterior segment eye abnormalities, instruments on detection of glaucoma, and development of human eye models using computational fluid dynamics and heat transfer principles to predict inner temperatures of the eye from its surface temperature. It presents an ultrasound biomicroscopy (UBM) system for anterior chamber angle imaging and proposes an automated anterior segment eye disease classification system that can be used for early disease diagnosis and treatment management. It focuses on the segmentation of the blood vessels in high-resolution retinal images and describes the integration of the image processing methodologies in a web-based framework aimed at retinal analysis. The authors introduce the A-Levelset algorithm, explore the ARGALI system to calculate the cup-to-disc ratio (CDR), and describe the Singapore Eye Vessel Assessment (SIVA) system, a holistic tool which brings together various technologies from image processing and artificial intelligence to construct vascular models from retinal images. The text furnishes the working principles of mechanical and optical instruments for the diagnosis and healthcare administration of glaucoma, reviews state-of-the-art CDR calculation detail, and discusses the existing methods and databases. Image Analysis and Modeling in Ophthalmology includes the latest research development in the field of eye modeling and the multi-modality image processing techniques in ocular imaging. It addresses the differences, performance measures, advantages and disadvantages of various approaches, and provides extensive reviews on related fields.

Retinal Computation

Greg Schwartz
Retinal Computation Book PDF

Author : Greg Schwartz
Publisher : Academic Press
Page : 342 pages
File Size : 48,9 Mb
Release : 2021-08-07
Category : Medical
ISBN : 9780128231777

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Retinal Computation by Greg Schwartz Pdf

Retinal Computation summarizes current progress in defining the computations performed by the retina, also including the synaptic and circuit mechanisms by which they are implemented. Each chapter focuses on a single retinal computation that includes the definition of the computation and its neuroethological purpose, along with the available information on its known and unknown neuronal mechanisms. All chapters contain end-of-chapter questions associated with a landmark paper, as well as programming exercises. This book is written for advanced graduate students, researchers and ophthalmologists interested in vision science or computational neuroscience of sensory systems. While the typical textbook's description of the retina is akin to a biological video camera, the real retina is actually the world’s most complex image processing machine. As part of the central nervous system, the retina converts patterns of light at the input into a rich palette of representations at the output. The parallel streams of information in the optic nerve encode features like color, contrast, orientation of edges, and direction of motion. Image processing in the retina is undeniably complex, but as one of the most accessible parts of the central nervous system, the tools to study retinal circuits with unprecedented precision are up to the task. This book provides a practical guide and resource about the current state of the field of retinal computation. Provides a practical guide on the field of retinal computation Summarizes and clearly explains important topics such as luminance, contrast, spatial features, motion and other computations Contains discussion questions, a landmark paper, and programming exercises within each chapter

Computational Pathology and Ophthalmic Medical Image Analysis

Danail Stoyanov,Zeike Taylor,Francesco Ciompi,Yanwu Xu,Anne Martel,Lena Maier-Hein,Nasir Rajpoot,Jeroen van der Laak,Mitko Veta,Stephen McKenna,David Snead,Emanuele Trucco,Mona K. Garvin,Xin Jan Chen,Hrvoje Bogunovic
Computational Pathology and Ophthalmic Medical Image Analysis Book PDF

Author : Danail Stoyanov,Zeike Taylor,Francesco Ciompi,Yanwu Xu,Anne Martel,Lena Maier-Hein,Nasir Rajpoot,Jeroen van der Laak,Mitko Veta,Stephen McKenna,David Snead,Emanuele Trucco,Mona K. Garvin,Xin Jan Chen,Hrvoje Bogunovic
Publisher : Springer
Page : 347 pages
File Size : 47,5 Mb
Release : 2018-09-13
Category : Computers
ISBN : 9783030009496

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Computational Pathology and Ophthalmic Medical Image Analysis by Danail Stoyanov,Zeike Taylor,Francesco Ciompi,Yanwu Xu,Anne Martel,Lena Maier-Hein,Nasir Rajpoot,Jeroen van der Laak,Mitko Veta,Stephen McKenna,David Snead,Emanuele Trucco,Mona K. Garvin,Xin Jan Chen,Hrvoje Bogunovic Pdf

This book constitutes the refereed joint proceedings of the First International Workshop on Computational Pathology, COMPAY 2018, and the 5th International Workshop on Ophthalmic Medical Image Analysis, OMIA 2018, held in conjunction with the 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, Spain, in September 2018. The 19 full papers (out of 25 submissions) presented at COMPAY 2018 and the 21 full papers (out of 31 submissions) presented at OMIA 2018 were carefully reviewed and selected. The COMPAY papers focus on artificial intelligence and deep learning. The OMIA papers cover various topics in the field of ophthalmic image analysis.

Computational Vision and Medical Image Processing V

Joao Tavares,R.M. Natal Jorge
Computational Vision and Medical Image Processing V Book PDF

Author : Joao Tavares,R.M. Natal Jorge
Publisher : CRC Press
Page : 374 pages
File Size : 53,7 Mb
Release : 2015-10-14
Category : Computers
ISBN : 9781315642796

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Computational Vision and Medical Image Processing V by Joao Tavares,R.M. Natal Jorge Pdf

VipIMAGE 2015 contains invited lectures and full papers presented at VIPIMAGE 2015 - V ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing (Tenerife, Canary Islands, Spain, 19-21 October, 2015). International contributions from 19 countries provide a comprehensive coverage of the current state-of-the-art in the fields o

Advanced Machine Vision Paradigms for Medical Image Analysis

Tapan K. Gandhi,Siddhartha Bhattacharyya,Sourav De,Debanjan Konar,Sandip Dey
Advanced Machine Vision Paradigms for Medical Image Analysis Book PDF

Author : Tapan K. Gandhi,Siddhartha Bhattacharyya,Sourav De,Debanjan Konar,Sandip Dey
Publisher : Academic Press
Page : 308 pages
File Size : 50,8 Mb
Release : 2020-08-11
Category : Computers
ISBN : 9780128192962

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Advanced Machine Vision Paradigms for Medical Image Analysis by Tapan K. Gandhi,Siddhartha Bhattacharyya,Sourav De,Debanjan Konar,Sandip Dey Pdf

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

Advances in Computational Vision and Medical Image Processing

Joao Tavares,R. M. Natal Jorge
Advances in Computational Vision and Medical Image Processing Book PDF

Author : Joao Tavares,R. M. Natal Jorge
Publisher : Springer Science & Business Media
Page : 296 pages
File Size : 45,7 Mb
Release : 2008-12-21
Category : Computers
ISBN : 9781402090868

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Advances in Computational Vision and Medical Image Processing by Joao Tavares,R. M. Natal Jorge Pdf

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, Statistics, Psychology, Mechanics and Physics are usually used. Besides this inter-multidisciplinary characteristic, one of the main reasons that contributes for the continually effort done in this domain of the human knowledge is the number of applications in the medical area. For instance, it is possible to consider the use of statistical or physical procedures on medical images in order to model the represented structures. This modeling can have different goals, for example: shape reconstruction, segmentation, registration, behavior interpretation and simulation, motion and deformation analysis, virtual reality, computer-assisted therapy or tissue characterization. The main objective of the ECCOMAS Thematic Conferences on Computational Vision and Medical Image Processing (VIPimage) is to promote a comprehensive forum for discussion on the recent advances in the related ?elds trying to id- tify widespread areas of potential collaboration between researchers of different sciences.

Computational Analysis of the Human Eye with Applications

Sumeet Dua
Computational Analysis of the Human Eye with Applications Book PDF

Author : Sumeet Dua
Publisher : World Scientific
Page : 467 pages
File Size : 47,7 Mb
Release : 2011
Category : Medical
ISBN : 9789814340304

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Computational Analysis of the Human Eye with Applications by Sumeet Dua Pdf

Advances in semi-automated high-throughput image data collection routines, coupled with a decline in storage costs and an increase in high-performance computing solutions have led to an exponential surge in data collected by biomedical scientists and medical practitioners. Interpreting this raw data is a challenging task, and nowhere is this more evident than in the field of opthalmology. The sheer speed at which data on cataracts, diabetic retinopathy, glaucoma and other eye disorders are collected, makes it impossible for the human observer to directly monitor subtle, yet critical details. This book is a novel and well-timed endeavor to present, in an amalgamated format, computational image modeling methods as applied to various extrinsic scientific problems in ophthalmology. It is self-contained and presents a highly comprehensive array of image modeling algorithms and methodologies relevant to ophthalmologic problems. The book is the first of its kind, bringing eye imaging and multi-dimensional hyperspectral imaging and data fusion of the human eye, into focus. The editors are at the top of their fields and bring a strong multidisciplinary synergy to this visionary volume. Their "inverted-pyramid" approach in presenting the content and their focus on core applications will appeal to students and practitioners in the field.

Human Eye Imaging and Modeling

E. Y. K. Ng,Jen Hong Tan,U. Rajendra Acharya,Jasjit S. Suri
Human Eye Imaging and Modeling Book PDF

Author : E. Y. K. Ng,Jen Hong Tan,U. Rajendra Acharya,Jasjit S. Suri
Publisher : CRC Press
Page : 432 pages
File Size : 44,9 Mb
Release : 2012-06-05
Category : Technology & Engineering
ISBN : 9781439869932

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Human Eye Imaging and Modeling by E. Y. K. Ng,Jen Hong Tan,U. Rajendra Acharya,Jasjit S. Suri Pdf

Advanced image processing and mathematical modeling techniques are increasingly being used for the early diagnosis of eye diseases. A comprehensive review of the field, Human Eye Imaging and Modeling details the latest advances and analytical techniques in ocular imaging and modeling. The first part of the book looks at imaging of the fundus as well as infrared imaging. It begins by exploring developments in the analysis of fundus images, particularly for the diagnosis of diabetic retinopathy and glaucoma. It also reviews anterior segment imaging and reports on developments in ocular thermography, especially the use of thermal imaging as the basis of tear evaporimetry and dry eye diagnosis. The second part of the book delves into mathematical modeling of the human eye. Coverage includes modeling of the eye during retinal laser surgery, a framework for optical simulation, heat distribution using a 3D web-splines solution, and exposure to laser radiation. The text also examines computer simulation of the human eye based on principles of heat transfer, as well as various bioheat equations to predict interior temperatures based on the surface temperature. Featuring contributions by established experts in eye imaging, this is a valuable reference for medical personnel and researchers who want to know more about state-of-the-art computer-based imaging and detection methods. It presents novel imaging and modeling algorithms that can aid in early diagnosis, with the aim of enriching the lives of people suffering from eye abnormalities.

Signal Processing and Machine Learning for Biomedical Big Data

Ervin Sejdic,Tiago H. Falk
Signal Processing and Machine Learning for Biomedical Big Data Book PDF

Author : Ervin Sejdic,Tiago H. Falk
Publisher : CRC Press
Page : 1151 pages
File Size : 42,8 Mb
Release : 2018-07-04
Category : Medical
ISBN : 9781351061216

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Signal Processing and Machine Learning for Biomedical Big Data by Ervin Sejdic,Tiago H. Falk Pdf

Within the healthcare domain, big data is defined as any ``high volume, high diversity biological, clinical, environmental, and lifestyle information collected from single individuals to large cohorts, in relation to their health and wellness status, at one or several time points.'' Such data is crucial because within it lies vast amounts of invaluable information that could potentially change a patient's life, opening doors to alternate therapies, drugs, and diagnostic tools. Signal Processing and Machine Learning for Biomedical Big Data thus discusses modalities; the numerous ways in which this data is captured via sensors; and various sample rates and dimensionalities. Capturing, analyzing, storing, and visualizing such massive data has required new shifts in signal processing paradigms and new ways of combining signal processing with machine learning tools. This book covers several of these aspects in two ways: firstly, through theoretical signal processing chapters where tools aimed at big data (be it biomedical or otherwise) are described; and, secondly, through application-driven chapters focusing on existing applications of signal processing and machine learning for big biomedical data. This text aimed at the curious researcher working in the field, as well as undergraduate and graduate students eager to learn how signal processing can help with big data analysis. It is the hope of Drs. Sejdic and Falk that this book will bring together signal processing and machine learning researchers to unlock existing bottlenecks within the healthcare field, thereby improving patient quality-of-life. Provides an overview of recent state-of-the-art signal processing and machine learning algorithms for biomedical big data, including applications in the neuroimaging, cardiac, retinal, genomic, sleep, patient outcome prediction, critical care, and rehabilitation domains. Provides contributed chapters from world leaders in the fields of big data and signal processing, covering topics such as data quality, data compression, statistical and graph signal processing techniques, and deep learning and their applications within the biomedical sphere. This book’s material covers how expert domain knowledge can be used to advance signal processing and machine learning for biomedical big data applications.

Computational Techniques for Dental Image Analysis

Kamalanand, K.,Thayumanavan, B.,Jawahar, P. Mannar
Computational Techniques for Dental Image Analysis Book PDF

Author : Kamalanand, K.,Thayumanavan, B.,Jawahar, P. Mannar
Publisher : IGI Global
Page : 334 pages
File Size : 43,5 Mb
Release : 2018-10-30
Category : Medical
ISBN : 9781522562443

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Computational Techniques for Dental Image Analysis by Kamalanand, K.,Thayumanavan, B.,Jawahar, P. Mannar Pdf

With the technology innovations dentistry has witnessed in all its branches over the past three decades, the need for more precise diagnostic tools and advanced imaging methods has become mandatory across the industry. Recent advancements to imaging systems are playing an important role in efficient diagnoses, treatments, and surgeries. Computational Techniques for Dental Image Analysis provides innovative insights into computerized methods for automated analysis. The research presented within this publication explores pattern recognition, oral pathologies, and diagnostic processing. It is designed for dentists, professionals, medical educators, medical imaging technicians, researchers, oral surgeons, and students, and covers topics centered on easier assessment of complex cranio-facial tissues and the accurate diagnosis of various lesions at early stages.

Soft Computing Based Medical Image Analysis

Nilanjan Dey,Amira Ashour,Fuquian Shi,Valentina E. Balas
Soft Computing Based Medical Image Analysis Book PDF

Author : Nilanjan Dey,Amira Ashour,Fuquian Shi,Valentina E. Balas
Publisher : Academic Press
Page : 292 pages
File Size : 42,6 Mb
Release : 2018-01-18
Category : Technology & Engineering
ISBN : 9780128131749

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Soft Computing Based Medical Image Analysis by Nilanjan Dey,Amira Ashour,Fuquian Shi,Valentina E. Balas Pdf

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