Download or read book Retinal Image Analysis for Eye Disease Detection and Classification written by Mohamed Omar and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book DETECTION AND CLASSIFICATION OF DIABETIC RETINOPATHY CONDITION IN RETINAL IMAGES written by N. Ramakrishna and published by Archers & Elevators Publishing House. This book was released on with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Image Analysis and Modeling in Ophthalmology written by Eddie Y. K. Ng and published by CRC Press. This book was released on 2014-02-11 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Computational Retinal Image Analysis written by Emanuele Trucco and published by Academic Press. This book was released on 2019-11-19 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book Retinal Images for Diagnosis of Eye Diseases by Feature Extraction written by Karkuzhali S and published by . This book was released on 2022-12-20 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Human eye is one of the important organs in human body, with iris, pupil, sclera, cornea, lens, retina and optic nerve. Many important eye diseases as well as systemic diseases manifest themselves in the retina. The most widespread causes of blindness in the industrialized world are glaucoma, Age Related Macular Degeneration (ARMD), Diabetic Retinopathy (DR) and Diabetic Macula Edema (DME). The development of a retinal image analysis system is a demanding research topic for early detection, progression analysis and diagnosis of eye diseases. The objective of the research work is to diagnose a retinal disease that leads to major blindness using fundus images. The main objectives of a retinal image analysis system are  To analyze retinal images and to identify abnormalities in them.  To locate and segment structural indicators of eye diseases.  To develop an automated screening system to diagnose eye diseases earlier.  To develop novel segmentation and classification methods that overcome the inefficiencies of other existing techniques in detecting abnormalities.

Download or read book 2021 Seventh International Conference on Bio Signals Images and Instrumentation ICBSII written by IEEE Staff and published by . This book was released on 2021-03-25 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: ICBSII 2021, a major multidisciplinary international meet, aims to bring together researchers, clinicians, scientists, engineers and research scholars to share their experiences, novel ideas and research findings in all aspects of Biomedical engineering

Download or read book Automated Image Detection of Retinal Pathology written by Herbert Jelinek and published by CRC Press. This book was released on 2009-10-09 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discusses the Effect of Automated Assessment Programs on Health Care ProvisionDiabetes 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

Download or read book Diabetes and Fundus OCT written by Ayman S. El-Baz and published by Elsevier. This book was released on 2020-04-17 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: Diabetes and Fundus OCT brings together a stellar cast of authors who review the computer-aided diagnostic (CAD) systems developed to diagnose non-proliferative diabetic retinopathy in an automated fashion using Fundus and OCTA images. Academic researchers, bioengineers, new investigators and students interested in diabetes and retinopathy need an authoritative reference to bring this multidisciplinary field together to help reduce the amount of time spent on source-searching and instead focus on actual research and the clinical application. This reference depicts the current clinical understanding of diabetic retinopathy, along with the many scientific advances in understanding this condition. As the role of optical coherence tomography (OCT) in the assessment and management of diabetic retinopathy has become significant in understanding the vireo retinal relationships and the internal architecture of the retina, this information is more critical than ever. Includes unique information for academic clinicians, researchers and bioengineers Provides insights needed to understand the imaging modalities involved, the unmet clinical need that is being addressed, and the engineering and technical approaches applied Brings together details on the retinal vasculature in diabetics as imaged by optical coherence tomography angiography and automated detection of retinal disease

Download or read book Retinal Imaging written by David Huang and published by Mosby. This book was released on 2006 with total page 646 pages. Available in PDF, EPUB and Kindle. Book excerpt: SECTION I: IMAGING MODALITIES: BASIC PRINCIPLES & INTERPRETATION -- 1. Fluorescein angiography -- 2. Indocyanine green angiography -- 3. Optical coherence tomography (OCT) -- -- 4. Optical coherence tomographic ophthalmoscopy -- 5. Ultrasound -- 6. Scanning laser tomography -- 7. Scanning laser polarimetry -- 8. Retinal thickness analyzer -- 9. Adaptive optics ophthalmoscopy -- 10. Imaging of Ocular Blood Flow -- SECTION II: MACULAR DISEASES -- 11. Non-neovascular age-related macular degeneration -- -- 12. Neovascular Age-Related Macular Degeneration -- 13. Pathologic myopia -- 14. Central serous retinopathy -- 15. Macular holes -- 16. Epiretinal membranes -- 17. Macular dystrophies -- 18. Cystoid macular edema -- 19. Angiod streaks -- 20. Chrorioretinal folds -- SECTION III: RETINAL VASCULAR DISEASES -- 21. Diabetic Retinopathy -- 22. Arterial obstructive disease -- 23. Venous obstructive disease -- 24. Parafoveal Telangiectasis -- 25. Coats' disease -- 26. Retinopathy of prematurity -- 27. Ocular ischemic syndrome -- 28. Hypertensive retinopathy -- 29. Radiation retinopathy -- 30. Retinal artery macroanuerysm -- SECTION IV: INFLAMMATORY & INFECTIOUS DISEASES -- 31. Posterior Scleritis -- -- 32. Pars Planitis -- 33. Sarcoidosis -- 34. Uveal Effusion Syndrome -- 35. White Dot Syndromes -- -- 36. Sympathetic Ophthalmia -- 37. Vogt-Koyanagi-Harada Disease -- 38. Syphilis -- 39. Tuberculosis -- 40. Ocular Histoplasmosis -- 41. Fungal Infections -- 42. Endophthalmitis -- 43. Acute Retinal Necrosis -- 44. Toxoplasmosis -- 45. Toxocariasis -- 46. Cysticercosis -- 47. Diffuse Unilateral Subacute Neuroretinitis -- 48. Cytomegalovirus Retinitis -- SECTION V: OTHER RETINAL DISEASES -- 49. Ocular Phototoxicity -- 50. Metabolic and nutritional anomalies -- 51. Medications and Retinal Toxicity -- 52. Retinal injuries -- 53. Hereditary/congenital vitreoretinal disorders -- 54. Retinitis pigmentosa and allied disorders -- SECTION VI: TUMORS -- 55. Retinoblastoma -- 56. Choroidal malignant melanoma -- 57. Choroidal nevus -- 58. Cavernous hemangioma of the retina -- 59. Retinal capillary hemangioma -- 60. Choroidal hemangioma -- -- 61. Tuberous sclerosis complex -- 62. Tumors and related lesions of the retinal pigment epithelium -- 63. Congenital hypertrophy of the retinal pigment epithelium and other pigmented lesions -- 64. Choroidal/retinal metastasis -- 65. Osteomas -- 66. Leukemia /lymphomas -- SECTION VII: OPTIC NERVE DISORDERS -- 67. Optic pits -- 68. Optic nerve head drusen -- 69. Melanocytoma of the optic disc -- 70. Papilledema -- 71. Glaucoma -- 72. Other optic nerve malformations.

Download or read book Artificial Intelligence in Ophthalmology written by Andrzej Grzybowski and published by Springer Nature. This book was released on 2021-10-13 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Automated Retinal Image Analysis for Detection and Measurements of Tortuosity and Exudates written by and published by . This book was released on 2014 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the last few decades, an automated retinal image analysis for a diabetic retinopathy has been a major area of attention in the computer vision. The typical approach used by Ophthalmologists for examining the eye is the pupil dilation. This takes time, is not accurate, and is uncomfortable for patients. On the other hand, the automated retinal image analysis for retina pathologies is more sophisticated technology by which Ophthalmologists could screen the retina of the eye regularly and find out its normal and abnormal structures in a more precise and comfortable way. Monitoring the retina of the eye, utilizing an automatic method, and by applying necessary cure in advance could save patients from losing their vision. In recent time, there were many research works on automated detection and classification of the features of the eye in the fundus [normal structures and abnormal structures (retina pathologies)] using different strategies and algorithms to obtain precise results. But they still do not meet many of the requirements. In this research we consider the retinal images taken from non-dilated eye pupils to eliminate the dilation process. These images are noisy, lower in contrast, lower in intensity, and have more non-uniform luminosity due to a non-dilation process and retinal camera. The contributions of this research are robust algorithms and methods that detect and extract as well as measure the landmark features of the retina such as the optic disc, and blood vessels as well as the abnormal structures such as blood vessel tortuosity, hard exudates and soft exudates (cotton wool spots), and an age-related macular degeneration (drusens). This provides early detection and monitoring of retina pathologies for a patient that can be cured by ophthalmologists prior to blindness. We investigated our developed algorithm by applying it to a number of retinal images with noise, low intensity, less color contrast, and non-uniform luminosity which are taken from non-dilated eye pupil. In addition to that, these images carry distinct kinds of retina pathologies such as exudates, drusens, and tortuosity.

Download or read book Medical Retina written by Frank G Holz and published by Springer Science & Business Media. This book was released on 2010-03-18 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent advances in ophthalmic imaging technology have revolutionized fundus examination and contributed significantly in elucidating the pathophysiology of retinal diseases and improving their diagnosis and treatment. It is therefore fitting that this detailed full-color textbook in the Medical Retina series is devoted to ocular imaging. The volume reviews in detail the role of both established and novel forms of imaging, and is designed to be of benefit to clinicians and researchers alike. All of the chapters have been written by internationally recognized experts at the forefront of their fields. The result is a comprehensive, state-of-the-art overview of retinal imaging that should prove informative and useful for everyone interested in the retina. Topics include: •Spectral domain optical coherence tomography (SD-OCT) of macular diseases •Comparison of OCT equipment •Simultaneous SD-OCT and confocal SLO imaging •Ultra-widefield imaging °Autofluorescence imaging •Near-infrared imaging •Macular pigment imaging •Metabolic mapping •Imaging of the choroid •Imaging the vitreous and the vitreoretinal interface with SD-OCT •New developments in OCT technology •Molecular imaging

Download or read book Fundus Autofluorescence written by Noemi Lois and published by Lippincott Williams & Wilkins. This book was released on 2012-02-13 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: Featuring over 250 illustrations, this detailed full-color textbook provides up-to-date information on the use of fundus autofluorescence imaging in evaluation of retinal disease. Chapters describe the techniques available to image and quantify fundus autofluorescence and the autofluorescence patterns observed in the healthy eye and in various retinal diseases. Emphasis is on the value of fundus autofluorescence as a diagnostic and prognostic tool and its clinical utility in the context of other imaging techniques, such as fluorescein and indocyanine green angiography and optical coherence tomography. Each chapter also discusses the value of fundus autofluorescence in understanding the pathogenesis of the condition, and provides a comprehensive update on all aspects of the condition. A companion Website will offer the fully searchable text and an image bank.

Download or read book Digital Image Processing for Ophthalmology written by Xiaolu Zhu and published by Morgan & Claypool Publishers. This book was released on 2011-02-02 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book Image Analysis and Recognition written by Aurélio Campilho and published by Springer Science & Business Media. This book was released on 2010-06-09 with total page 465 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed proceedings of the 7th International Conference, ICIAR 2010, held in Póvoa de Varzin, Portugal in June 2010. The 88 revised full papers were selected from 164 submissions. The papers are organized in topical sections on Image Morphology, Enhancement and Restoration, Image Segmentation, Featue Extraction and Pattern Recognition, Computer Vision, Shape, Texture and Motion Analysis, Coding, Indexing, and Retrieval, Face Detection and Recognition, Biomedical Image Analysis, Biometrics and Applications

Download or read book Computational Analysis of the Human Eye with Applications written by Sumeet Dua and published by World Scientific. This book was released on 2011 with total page 467 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Retinal Optical Coherence Tomography Image Analysis written by Xinjian Chen and published by Springer. This book was released on 2019-07-05 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.