Automated Image Detection Of Retinal Pathology

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Automated Image Detection of Retinal Pathology

Herbert Jelinek,Michael J. Cree
Automated Image Detection of Retinal Pathology Book PDF

Author : Herbert Jelinek,Michael J. Cree
Publisher : CRC Press
Page : 384 pages
File Size : 50,6 Mb
Release : 2009-10-09
Category : Medical
ISBN : 9781420037005

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Automated Image Detection of Retinal Pathology by Herbert Jelinek,Michael J. Cree Pdf

Discusses the Effect of Automated Assessment Programs on Health Care Provision Diabetes is approaching pandemic numbers, and as an associated complication, diabetic retinopathy is also on the rise. Much about the computer-based diagnosis of this intricate illness has been discovered and proven effective in research labs. But, unfortunately, many of these advances have subsequently failed during transition from the lab to the clinic. So what is the best way to diagnose and treat retinopathy? Automated Image Detection of Retinal Pathology discusses the epidemiology of the disease, proper screening protocols, algorithm development, image processing, and feature analysis applied to the retina. Conveys the Need for Widely Implemented Risk-Reduction Programs Offering an array of informative examples, this book analyzes the use of automated computer techniques, such as pattern recognition, in analyzing retinal images and detecting diabetic retinopathy and its progression as well as other retinal-based diseases. It also addresses the benefits and challenges of automated health care in the field of ophthalmology. The book then details the increasing practice of telemedicine screening and other advanced applications including arteriolar-venous ratio, which has been shown to be an early indicator of cardiovascular, diabetes, and cerebrovascular risk. Although tremendous advances have been made in this complex field, there are still many questions that remain unanswered. This book is a valuable resource for researchers looking to take retinal pathology to that next level of discovery as well as for clinicians and primary health care professionals that aim to utilize automated diagnostics as part of their health care program.

Retinal Optical Coherence Tomography Image Analysis

Xinjian Chen,Fei Shi,Haoyu Chen
Retinal Optical Coherence Tomography Image Analysis Book PDF

Author : Xinjian Chen,Fei Shi,Haoyu Chen
Publisher : Springer
Page : 385 pages
File Size : 40,7 Mb
Release : 2019-07-05
Category : Science
ISBN : 9789811318252

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Retinal Optical Coherence Tomography Image Analysis by Xinjian Chen,Fei Shi,Haoyu Chen Pdf

This book introduces the latest optical coherence tomography (OCT) imaging and computerized automatic image analysis techniques, and their applications in the diagnosis and treatment of retinal diseases. Discussing the basic principles and the clinical applications of OCT imaging, OCT image preprocessing, as well as the automatic detection and quantitative analysis of retinal anatomy and pathology, it includes a wealth of clinical OCT images, and state-of-the-art research that applies novel image processing, pattern recognition and machine learning methods to real clinical data. It is a valuable resource for researchers in both medical image processing and ophthalmic imaging.

Digital Image Processing for Ophthalmology

Xiaolu Zhu,Rangaraj Rangayyan,Anna L. Ells
Digital Image Processing for Ophthalmology Book PDF

Author : Xiaolu Zhu,Rangaraj Rangayyan,Anna L. Ells
Publisher : Springer Nature
Page : 95 pages
File Size : 44,7 Mb
Release : 2022-05-31
Category : Technology & Engineering
ISBN : 9783031016493

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Digital Image Processing for Ophthalmology by Xiaolu Zhu,Rangaraj Rangayyan,Anna L. Ells Pdf

Fundus images of the retina are color images of the eye taken by specially designed digital cameras. Ophthalmologists rely on fundus images to diagnose various diseases that affect the eye, such as diabetic retinopathy and retinopathy of prematurity. A crucial preliminary step in the analysis of retinal images is the identification and localization of important anatomical structures, such as the optic nerve head (ONH), the macula, and the major vascular arcades. Identification of the ONH is an important initial step in the detection and analysis of the anatomical structures and pathological features in the retina. Different types of retinal pathology may be detected and analyzed via the application of appropriately designed techniques of digital image processing and pattern recognition. Computer-aided analysis of retinal images has the potential to facilitate quantitative and objective analysis of retinal lesions and abnormalities. Accurate identification and localization of retinal features and lesions could contribute to improved diagnosis, treatment, and management of retinopathy. This book presents an introduction to diagnostic imaging of the retina and an overview of image processing techniques for ophthalmology. In particular, digital image processing algorithms and pattern analysis techniques for the detection of the ONH are described. In fundus images, the ONH usually appears as a bright region, white or yellow in color, and is indicated as the convergent area of the network of blood vessels. Use of the geometrical and intensity characteristics of the ONH, as well as the property that the ONH represents the location of entrance of the blood vessels and the optic nerve into the retina, is demonstrated in developing the methods. The image processing techniques described in the book include morphological filters for preprocessing fundus images, filters for edge detection, the Hough transform for the detection of lines and circles, Gabor filters to detect the blood vessels, and phase portrait analysis for the detection of convergent or node-like patterns. Illustrations of application of the methods to fundus images from two publicly available databases are presented, in terms of locating the center and the boundary of the ONH. Methods for quantitative evaluation of the results of detection of the ONH using measures of overlap and free-response receiver operating characteristics are also described. Table of Contents: Introduction / Computer-aided Analysis of Images of the Retina / Detection of Geometrical Patterns / Datasets and Experimental Setup / Detection of the\\Optic Nerve Head\\Using the Hough Transform / Detection of the\\Optic Nerve Head\\Using Phase Portraits / Concluding Remarks

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 : 43,9 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

Digital Image Processing for Ophthalmology

Faraz Oloumi,Rangaraj Rangayyan,Anna Ells
Digital Image Processing for Ophthalmology Book PDF

Author : Faraz Oloumi,Rangaraj Rangayyan,Anna Ells
Publisher : Springer Nature
Page : 151 pages
File Size : 52,7 Mb
Release : 2022-06-01
Category : Technology & Engineering
ISBN : 9783031016608

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Digital Image Processing for Ophthalmology by Faraz Oloumi,Rangaraj Rangayyan,Anna Ells Pdf

The monitoring of the effects of retinopathy on the visual system can be assisted by analyzing the vascular architecture of the retina. This book presents methods based on Gabor filters to detect blood vessels in fundus images of the retina. Forty images of the retina from the Digital Retinal Images for Vessel Extraction (DRIVE) database were used to evaluate the performance of the methods. The results demonstrate high efficiency in the detection of blood vessels with an area under the receiver operating characteristic curve of 0.96. Monitoring the openness of the major temporal arcade (MTA) could facilitate improved diagnosis and optimized treatment of retinopathy. This book presents methods for the detection and modeling of the MTA, including the generalized Hough transform to detect parabolic forms. Results obtained with 40 images of the DRIVE database, compared with hand-drawn traces of the MTA, indicate a mean distance to the closest point of about 0.24mm. This book illustrates applications of the methods mentioned above for the analysis of the effects of proliferative diabetic retinopathy and retinopathy of prematurity on retinal vascular architecture.

Medical Imaging: Concepts, Methodologies, Tools, and Applications

Management Association, Information Resources
Medical Imaging Concepts Methodologies Tools and Applications Book PDF

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 2081 pages
File Size : 40,9 Mb
Release : 2016-07-18
Category : Medical
ISBN : 9781522505723

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Medical Imaging: Concepts, Methodologies, Tools, and Applications by Management Association, Information Resources Pdf

Medical imaging has transformed the ways in which various conditions, injuries, and diseases are identified, monitored, and treated. As various types of digital visual representations continue to advance and improve, new opportunities for their use in medical practice will likewise evolve. Medical Imaging: Concepts, Methodologies, Tools, and Applications presents a compendium of research on digital imaging technologies in a variety of healthcare settings. This multi-volume work contains practical examples of implementation, emerging trends, case studies, and technological innovations essential for using imaging technologies for making medical decisions. This comprehensive publication is an essential resource for medical practitioners, digital imaging technologists, researchers, and medical students.

Advances in Computational Intelligence

Ignacio Rojas,Gonzalo Joya,Andreu Catala
Advances in Computational Intelligence Book PDF

Author : Ignacio Rojas,Gonzalo Joya,Andreu Catala
Publisher : Springer
Page : 761 pages
File Size : 50,9 Mb
Release : 2017-06-04
Category : Computers
ISBN : 9783319591537

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Advances in Computational Intelligence by Ignacio Rojas,Gonzalo Joya,Andreu Catala Pdf

This two-volume set LNCS 10305 and LNCS 10306 constitutes the refereed proceedings of the 14th International Work-Conference on Artificial Neural Networks, IWANN 2017, held in Cadiz, Spain, in June 2017. The 126 revised full papers presented in this double volume were carefully reviewed and selected from 199 submissions. The papers are organized in topical sections on Bio-inspired Computing; E-Health and Computational Biology; Human Computer Interaction; Image and Signal Processing; Mathematics for Neural Networks; Self-organizing Networks; Spiking Neurons; Artificial Neural Networks in Industry ANNI'17; Computational Intelligence Tools and Techniques for Biomedical Applications; Assistive Rehabilitation Technology; Computational Intelligence Methods for Time Series; Machine Learning Applied to Vision and Robotics; Human Activity Recognition for Health and Well-Being Applications; Software Testing and Intelligent Systems; Real World Applications of BCI Systems; Machine Learning in Imbalanced Domains; Surveillance and Rescue Systems and Algorithms for Unmanned Aerial Vehicles; End-User Development for Social Robotics; Artificial Intelligence and Games; and Supervised, Non-Supervised, Reinforcement and Statistical Algorithms.

Biomedical Signal and Image Processing in Patient Care

Kolekar, Maheshkumar H.,Kumar, Vinod
Biomedical Signal and Image Processing in Patient Care Book PDF

Author : Kolekar, Maheshkumar H.,Kumar, Vinod
Publisher : IGI Global
Page : 312 pages
File Size : 40,9 Mb
Release : 2017-08-11
Category : Technology & Engineering
ISBN : 9781522528302

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Biomedical Signal and Image Processing in Patient Care by Kolekar, Maheshkumar H.,Kumar, Vinod Pdf

In healthcare systems, medical devices help physicians and specialists in diagnosis, prognosis, and therapeutics. As research shows, validation of medical devices is significantly optimized by accurate signal processing. Biomedical Signal and Image Processing in Patient Care is a pivotal reference source for progressive research on the latest development of applications and tools for healthcare systems. Featuring extensive coverage on a broad range of topics and perspectives such as telemedicine, human machine interfaces, and multimodal data fusion, this publication is ideally designed for academicians, researchers, students, and practitioners seeking current scholarly research on real-life technological inventions.

Artificial Intelligence in Ophthalmology

Andrzej Grzybowski
Artificial Intelligence in Ophthalmology Book PDF

Author : Andrzej Grzybowski
Publisher : Springer Nature
Page : 280 pages
File Size : 40,5 Mb
Release : 2021-10-13
Category : Medical
ISBN : 9783030786014

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Artificial Intelligence in Ophthalmology by Andrzej Grzybowski Pdf

This book provides a wide-ranging overview of artificial intelligence (AI), machine learning (ML) and deep learning (DL) algorithms in ophthalmology. Expertly written chapters examine AI in age-related macular degeneration, glaucoma, retinopathy of prematurity and diabetic retinopathy screening. AI perspectives, systems and limitations are all carefully assessed throughout the book as well as the technical aspects of DL systems for retinal diseases including the application of Google DeepMind, the Singapore algorithm, and the Johns Hopkins algorithm. Artificial Intelligence in Ophthalmology meets the need for a resource that reviews the benefits and pitfalls of AI, ML and DL in ophthalmology. Ophthalmologists, optometrists, eye-care workers, neurologists, cardiologists, internal medicine specialists, AI engineers and IT specialists with an interest in how AI can help with early diagnosis and monitoring treatment in ophthalmic patients will find this book to be an indispensable guide to an evolving area of healthcare technology.

Intelligent Information Processing VII

Zhongzhi Shi,Zhaohui Wu,David Leake,Uli Sattler
Intelligent Information Processing VII Book PDF

Author : Zhongzhi Shi,Zhaohui Wu,David Leake,Uli Sattler
Publisher : Springer
Page : 324 pages
File Size : 43,7 Mb
Release : 2014-10-13
Category : Computers
ISBN : 9783662449806

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Intelligent Information Processing VII by Zhongzhi Shi,Zhaohui Wu,David Leake,Uli Sattler Pdf

This book constitutes the refereed proceedings of the 8th IFIP TC 12 International Conference on Intelligent Information Processing, IIP 2014, held in Hangzhou, China, in October 2014. The 32 revised papers presented were carefully reviewed and selected from more than 70 submissions. They are organized in topical sections on machine learning, data mining, web mining, multi-agent systems, automatic reasoning, decision algorithms, multimedia, pattern recognition, and information security.

Ophthalmological Imaging and Applications

E. Y. K. Ng,U. Rajendra Acharya,Rangaraj M. Rangayyan,Jasjit S. Suri
Ophthalmological Imaging and Applications Book PDF

Author : E. Y. K. Ng,U. Rajendra Acharya,Rangaraj M. Rangayyan,Jasjit S. Suri
Publisher : CRC Press
Page : 532 pages
File Size : 49,7 Mb
Release : 2014-05-05
Category : Technology & Engineering
ISBN : 9781466559134

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Ophthalmological Imaging and Applications by E. Y. K. Ng,U. Rajendra Acharya,Rangaraj M. Rangayyan,Jasjit S. Suri Pdf

Edited by and featuring contributions from world-class researchers, Ophthalmological Imaging and Applications offers a unified work of the latest human eye imaging and modeling techniques that have been proposed and applied to the diagnosis of ophthalmologic problems, including inflammation, cataracts, diabetic retinopathy, and glaucoma. With a focus on theory, basic principles, and results derived from research, the book: Explores various morphological, textural, higher-order spectral, and wavelet transformation techniques used to extract salient features from images of the human eye Examines 2D and 3D finite element and boundary element models of the human eye developed to simulate thermal steady-state conditions Addresses the difficult task of benchmarking the validity of human eye imaging techniques and computer-simulated results with experimental measurements Intended to be a companion to Image Analysis and Modeling in Ophthalmology, this volume covers several aspects of multimodal ophthalmological imaging and applications, presenting information in an accessible manner to appeal to a wide audience of students, researchers, and practitioners. Ophthalmological Imaging and Applications considers promising simulations that pave the way for new possibilities in computational methods for eye health care.

Image Analysis and Recognition

Aurélio Campilho,Fakhri Karray,Zhou Wang
Image Analysis and Recognition Book PDF

Author : Aurélio Campilho,Fakhri Karray,Zhou Wang
Publisher : Springer Nature
Page : 445 pages
File Size : 49,5 Mb
Release : 2020-06-19
Category : Computers
ISBN : 9783030505165

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Image Analysis and Recognition by Aurélio Campilho,Fakhri Karray,Zhou Wang Pdf

This two-volume set LNCS 12131 and LNCS 12132 constitutes the refereed proceedings of the 17th International Conference on Image Analysis and Recognition, ICIAR 2020, held in Póvoa de Varzim, Portugal, in June 2020. The 54 full papers presented together with 15 short papers were carefully reviewed and selected from 123 submissions. The papers are organized in the following topical sections: image processing and analysis; video analysis; computer vision; 3D computer vision; machine learning; medical image and analysis; analysis of histopathology images; diagnosis and screening of ophthalmic diseases; and grand challenge on automatic lung cancer patient management. Due to the corona pandemic, ICIAR 2020 was held virtually only.

Topics in Medical Image Processing and Computational Vision

Joao Manuel R.S. Tavares,Renato M. Natal Jorge
Topics in Medical Image Processing and Computational Vision Book PDF

Author : Joao Manuel R.S. Tavares,Renato M. Natal Jorge
Publisher : Springer Science & Business Media
Page : 312 pages
File Size : 47,8 Mb
Release : 2013-03-27
Category : Technology & Engineering
ISBN : 9789400707269

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Topics in Medical Image Processing and Computational Vision by Joao Manuel R.S. Tavares,Renato M. Natal Jorge Pdf

The sixteen chapters included in this book were written by invited experts of international recognition and address important issues in Medical Image Processing and Computational Vision, including: Object Recognition, Object Detection, Object Tracking, Pose Estimation, Facial Expression Recognition, Image Retrieval, Data Mining, Automatic Video Understanding and Management, Edges Detection, Image Segmentation, Modelling and Simulation, Medical thermography, Database Systems, Synthetic Aperture Radar and Satellite Imagery. Different applications are addressed and described throughout the book, comprising: Object Recognition and Tracking, Facial Expression Recognition, Image Database, Plant Disease Classification, Video Understanding and Management, Image Processing, Image Segmentation, Bio-structure Modelling and Simulation, Medical Imaging, Image Classification, Medical Diagnosis, Urban Areas Classification, Land Map Generation. The book brings together the current state-of-the-art in the various multi-disciplinary solutions for Medical Image Processing and Computational Vision, including research, techniques, applications and new trends contributing to the development of the related areas.

Machine Learning in Medical Imaging

Yinghuan Shi,Heung-Il Suk,Mingxia Liu
Machine Learning in Medical Imaging Book PDF

Author : Yinghuan Shi,Heung-Il Suk,Mingxia Liu
Publisher : Springer
Page : 422 pages
File Size : 45,9 Mb
Release : 2018-09-14
Category : Computers
ISBN : 9783030009199

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Machine Learning in Medical Imaging by Yinghuan Shi,Heung-Il Suk,Mingxia Liu Pdf

This book constitutes the proceedings of the 9th International Workshop on Machine Learning in Medical Imaging, MLMI 2018, held in conjunction with MICCAI 2018 in Granada, Spain, in September 2018. The 45 papers presented in this volume were carefully reviewed and selected from 82 submissions. They focus on major trends and challenges in the area of machine learning in medical imaging and aim to identify new cutting-edge techniques and their use in medical imaging.

Big Data and Visual Analytics

Sang C. Suh,Thomas Anthony
Big Data and Visual Analytics Book PDF

Author : Sang C. Suh,Thomas Anthony
Publisher : Springer
Page : 263 pages
File Size : 51,6 Mb
Release : 2018-01-15
Category : Computers
ISBN : 9783319639178

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Big Data and Visual Analytics by Sang C. Suh,Thomas Anthony Pdf

This book provides users with cutting edge methods and technologies in the area of big data and visual analytics, as well as an insight to the big data and data analytics research conducted by world-renowned researchers in this field. The authors present comprehensive educational resources on big data and visual analytics covering state-of-the art techniques on data analytics, data and information visualization, and visual analytics. Each chapter covers specific topics related to big data and data analytics as virtual data machine, security of big data, big data applications, high performance computing cluster, and big data implementation techniques. Every chapter includes a description of an unique contribution to the area of big data and visual analytics. This book is a valuable resource for researchers and professionals working in the area of big data, data analytics, and information visualization. Advanced-level students studying computer science will also find this book helpful as a secondary textbook or reference.