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Intelligent System For Screening Diabetic Retinopathy By Using Neutrosophic And Statistical Fundus Image Features
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Book Synopsis Intelligent System for Screening Diabetic Retinopathy by Using Neutrosophic and Statistical Fundus Image Features. by : Bazhdar N. SH. Mohammed
Download or read book Intelligent System for Screening Diabetic Retinopathy by Using Neutrosophic and Statistical Fundus Image Features. written by Bazhdar N. SH. Mohammed and published by Infinite Study. This book was released on with total page 10 pages. Available in PDF, EPUB and Kindle. Book excerpt: Diabetic retinopathy (DR) is considered as one of the global diseases of blindness, especially for aged people. The main reason behind this disease is the complication of diabetes in retinal blood vessels. Usually, the early warning signs are not observed. Screening is an important key for the diagnosis of early stages of diabetic retinopathy. In this work, a new technique for automatically screening three categories; Normal, Non-Proliferative Diabetic Retinopathy (Non-PDR), and Proliferative Diabetic Retinopathy (PDR) disease is presented that is may help doctors and physicians to make a preliminary decision.
Book Synopsis Intelligent Analysis Of Fundus Images: Methods And Applications by : Yuanyuan Chen
Download or read book Intelligent Analysis Of Fundus Images: Methods And Applications written by Yuanyuan Chen and published by World Scientific. This book was released on 2023-06-15 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive compendium designs deep neural network models and systems for intelligent analysis of fundus imaging. In response to several blinding fundus diseases such as Retinopathy of Prematurity (ROP), Diabetic Retinopathy (DR) and Macular Edema (ME), different image acquisition devices and fundus image analysis tasks are elaborated.From the actual fundus disease analysis tasks, various deep neural network models and experimental results are constructed and analyzed. For each task, an actual system for clinical application is developed.This useful reference text provides theoretical and experimental reference basis for AI researchers, system engineers of intelligent medicine and ophthalmologists.
Book Synopsis Applying Artificial Intelligence and Mobile Technologies to Enable Practical Screening for Diabetic Retinopathy by : Christabel J. Sitienei
Download or read book Applying Artificial Intelligence and Mobile Technologies to Enable Practical Screening for Diabetic Retinopathy written by Christabel J. Sitienei and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: With burgeoning middle class populations and changing lifestyles, diabetes is rapidly emerging as a major health concern worldwide. A related complication, Diabetic Retinopathy (DR), affects approximately 1 of 3 people with diabetes and is the leading cause of adult blindness worldwide. Since DR often goes undiagnosed, there has been great interest in using artificial intelligence in the form of Deep Learning algorithms to automatically predict DR using retina (fundus) images. However, the practical application of these algorithms is impeded by the different levels of DR severity, limited algorithm reproducibility, and a large variability in fundus imaging devices. To address these concerns, I present the development of an image processing pipeline and a neural net algorithm that automatically tests image quality (based on brightness, color, and amount of blur), rejects poor quality images, and re-formats each image into a standard image resolution. In order to create a generalized model, I used a public Kaggle database or approximately 35,000 retina images and applied a transfer learning approach using the Inception v3 architecture, to build a convolutional neural net (CNN) model that predicts referable DR. As expected, the performance of the resulting model depended on the severity of DR, with AUCs ranging from 0.96 for severe DR to 0.74 for mild DR. I further customize the model using a smaller data set of 1156 smart-phone images from our clinical partner in India. On the Kaggle dataset, the best model achieved a sensitivity = 0.85 and specificity = 0.87. On the smaller dataset, the model attained a sensitivity = 0.82 and specificity = 0.80. Finally, as a possible alternative to fundus imaging, I explore the use of iris images to explore possible correlations with diabetic retinopathy and diabetes. Using cluster analysis and generating plots with PCA and T-SNE, we observed possible clusters in using GLCM features; however, there was insufficient data from healthy individuals to be able to draw any significant conclusions.
Book Synopsis Deep Convolutional Neural Network for The Prognosis of Diabetic Retinopathy by : A. Shanthini
Download or read book Deep Convolutional Neural Network for The Prognosis of Diabetic Retinopathy written by A. Shanthini and published by Springer Nature. This book was released on 2022-08-23 with total page 80 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses a detailed overview of diabetic retinopathy, symptoms, causes, and screening methodologies. Using a deep convolution neural network and visualizations techniques, this work develops a prognosis system used to automatically detect the diabetic retinopathy disease from captured retina images and help improve the prediction rate of diagnosis. This book gives the readers an understanding of the diabetic retinopathy disease and recognition process that helps to improve the clinical analysis efficiency. It caters to general ophthalmologists and optometrists, diabetologists, and internists who encounter diabetic patients and most prevalent retinal diseases daily.
Book Synopsis Development of Hybrid System for Automatic Diagnosis of Diabetic Retinopathy by : Safinaz binti Oap Kader Mohideen
Download or read book Development of Hybrid System for Automatic Diagnosis of Diabetic Retinopathy written by Safinaz binti Oap Kader Mohideen and published by . This book was released on 2013 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Optic Nerve Head (ONH) and Vascular Intersection (VI) are important features in retina fundus image (RFI). The application of artificial intelligence has not received much attention in the diagnosis, prediction and monitoring of diabetic retinopathy (DR). The hybrid artificial intelligent system includes image processing techniques and neural network trained with back propagation algorithm is proposed in this research work. Combined Cross Number points (CCN) technique which uses a 5×5 window embedded with Artificial Neural Network (ANN) technique has been proposed in the vasculature detection in order to detect the combination of bifurcation and crossover points in (RFI). On the other hand, three techniques are proposed in the ONH detection, namely simple thresholding technique and hybrid numerical differential approach as well as exponential histogram technique.Performance analysis of the system shows that ANN based technique for vascular intersection points detection achieves 100% accuracy on simulated images and a minimum of 92% accuracy on RFI obtained from DRIVE database. Thus, the simulated images have been used to train the artificial neural network (ANN) and on convergence the network is used to test (RFI) from DRIVE database. In the ONH detection, hybrid numerical differential and exponential histogram technique produces 90 % of accuracy as compared to the simple thresholding technique which only achieves 53% of accuracy.
Book Synopsis Computer Aided Diagnosis of Diabetic Retinopathy by : Muhammad Nadeem Ashraf
Download or read book Computer Aided Diagnosis of Diabetic Retinopathy written by Muhammad Nadeem Ashraf and published by LAP Lambert Academic Publishing. This book was released on 2015-09-03 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: Diabetic Retinopathy (DR) is vision threatening problem in diabetic patients and patient may suffers from complete blindness if untreated. Hemorrhages and Microaneurysms (HMAs) are the early signs that appear in retina at initial stages of DR. Early diagnosis of both Hemorrhages and Microaneurysms (HMAs) is crucial to prevent blindness. Continuous increase of diabetic cases in all over the world including Pakistan is limiting the typical manual screening capabilities. There is an urgent need of a robust automatic computer aided diagnosis (CAD) system using digital fundus images for the screening and monitoring of various types of DR to save many sight years of diabetic patients. Automatic detection of DR, especially detection of its early signs (HMAs), is still an open issue. Research work, described in this Book, is focusing on the analysis of various texture features of Region of Interests (ROIs) for the detection of HMAs using state-of-the-art texture descriptors Local Binary Pattern (LBP), which are independent of uneven illumination present in fundus images. This book would be helpful for the students & researchers working in the fields of medical and digital image processing.
Book Synopsis Intelligent Analysis of Fundus Images by : Yuanyuan Chen (Of Sichuan University)
Download or read book Intelligent Analysis of Fundus Images written by Yuanyuan Chen (Of Sichuan University) and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This comprehensive compendium designs deep neural network models and systems for intelligent analysis of fundus imaging. In response to several blinding fundus diseases such as Retinopathy of Prematurity (ROP), Diabetic Retinopathy (DR) and Macular Edema (ME), different image acquisition devices and fundus image analysis tasks are elaborated. From the actual fundus disease analysis tasks, various deep neural network models and experimental results are constructed and analyzed. For each task, an actual system for clinical application is developed. This useful reference text provides theoretical and experimental reference basis for AI researchers, system engineers of intelligent medicine and ophthalmologists"--
Book Synopsis Detection of Diabetic Maculopathy Using Image Analysis Techniques by : Eman A. Gani
Download or read book Detection of Diabetic Maculopathy Using Image Analysis Techniques written by Eman A. Gani and published by LAP Lambert Academic Publishing. This book was released on 2014-11-17 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: Diabetic retinopathy is a severe eye disease that affects many diabetic patients. It changes the small blood vessels in the retina resulting in loss of vision. Early detection and diagnosis have been identified as one of the ways to achieve a reduction in the percentage of visual impairment and blindness caused by diabetic retinopathy with emphasis on regular screening for detection and monitoring of this disease.The work in this book mainly focuses on developing a fundus image analysis system that extracts the fundal features of the retina such as optic disk, macula (i.e., fovea) and exudates lesions (hard and soft exudates), which are the fundamental steps in an automated analyzing system to display and diagnosis diabetic retinopathy.The proposed system is carried out in five phases: In the first phase, the background and damaged areas in the image are extracted. In the second phase, thresholding method followed by contrast enhancement method are employed to locate the optic disk .In the third phase, a model based approach to detect the macula and fovea is proposed.In the last phase, hard and soft exudates are detected.
Book Synopsis Automated Image Detection of Retinal Pathology by : Herbert Jelinek
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 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Eye Fundus Image Analysis for Automatic Detection of Diabetic Retinopathy by : Tomi Kauppi
Download or read book Eye Fundus Image Analysis for Automatic Detection of Diabetic Retinopathy written by Tomi Kauppi and published by . This book was released on 2010 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Automatic Detection and Analysis of Retinal Diseases by : Hillol Das
Download or read book Automatic Detection and Analysis of Retinal Diseases written by Hillol Das and published by LAP Lambert Academic Publishing. This book was released on 2014-10-09 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt: Image processing and analysis has great significance in the field of medical science. One such area is the analysis of retinal fundus images. This book explains an automated system for detection and analysis of retinal diseases from fundus images. Common retinal diseases such as Diabetic Retinopathy, Retinitis Pigmentosa and Glaucoma are studied in detail and appropriate detection approaches has been discussed. These diseases usually causes vision loss that in many cases cannot be reversed in advanced stages whereas they can be controlled in the early stages otherwise it progresses to loss of central vision and leads to complete blindness. Experimental results shows very significant detection rate of the methods discussed especially in locating optic disk with normalized cross correlation function. The proposed automated detection system can therefore be deployed for mass screening of retinal fundus images for early detection of common retinal diseases in rural areas where there is non-availability of good number of ophthalmologist and reducing the screening cost in the same time.
Book Synopsis Teasing Out Evidence of Primary Care Based Teleretinal Diabetic Retinopathy Screening After Implementing ISSSTE Program by : Sanchez-Diaz Iyari Carmen
Download or read book Teasing Out Evidence of Primary Care Based Teleretinal Diabetic Retinopathy Screening After Implementing ISSSTE Program written by Sanchez-Diaz Iyari Carmen and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: P-0941 Teasing out the evidence of primary careu2013based Tele-retinal Diabetic Retinopathy Screening after implementing a large program from ISSSTE across Mexico City and Metropolitan area.Authors: Jorge Guerrero Aguirre MD1, Iyari Sanchez MD1, Hadi Chakor MD,PhD2.1. ISSSTE, Mexico.2. Diagnos.Inc, Brossard, Canada.Keywords: DR (Diabetic Retinopathy), NPDR (None Proliferative Diabetic Retinopathy) fundus, PDR (Proliferative Diabetic Retinopathy), CARA (Computer Automatic Retinal Analysis), AI Aartificial Intelligence) and ETDRS (Early Treatment of Diabetic Retinopathy Study). Background:Diabetes is a major public health problem, associated with high rates of morbidity and mortality in any human community. It is well understood that the burden of diabetes is attributed to chronic progressive damage in major end-organs. Therefore, the Diabetic retinopathy (DR) is a serious and frequent complication and the leading cause of blindness in adultsu2019 population.Aims: The overall purpose of the present project is the harmonization and optimization of ISSSTE structures in order to reduce wait times, improve timeliness and maximize management of patients with diabetic condition in Mexico City. CARA telemedicine platform based on AI program from Diagnos.inc was used for mass screening, triage and management of the different follow up visit.Methods: 79000 Patients with diabetes and pre-diabetes condition were screened (32%male, 67% female and 1% other gender not specified), a mean age (59.8 u00b113.4 Years), all the participants underwent automatic screening by CARA Tele-Retinal system, the picture acquisitions were performed by a qualified professional in a darkened room acquired by an non-mydriatic fundus camera, the median time for screening for DR was (10mn u00b12). The picture was taken from each eye (OD and OS) with the macula in the center (45 degree field of view) according to clinical gold standard protocol and Early Treatment of Diabetic Retinopathy (ETDRS) criteria, semi-automatic classification was performed by CARA algorithm DR0 (normal fundus), DR1 (Mild NPDR), DR2 (Moderate NPDR), DR3 (Severe NPDR) and DR4 (PDR). The receiver operator characteristic curve (AUC) was used to assess the improvement in detection of any DR by automatic detection and classification mode using CARA algorithm compared to masked trained optometrist mode. Results: 53.04% of the patients had history of diabetes condition, 46.96% of the patients had no history of diabetes, while 37.7% of the patients were found with no DR, DR was automatically detected by CARA algorithm in 61.5% of the patients, those with DR1 condition were (36.8%), DR2 (11.5%), DR3 (8.9%) and DR4 condition were (4.3%). Therefore, 0.8% of the patients there had unclassified images of retinal fundus, while 7% of the patients detected with severe condition of DR were referred urgently to the specialist for treatment. The sensitivity of detecting any DR by automatic grading system (CARA algorithm) was 79.8% (95% CI, 72.1% -87.5%), the specificity was 87.7% (95% CI, 82.3%-93.0%) with an AUC of 88.5%. Conclusion: Telemedicine program through AI application was successfully implemented and executed on a large scale population with significant improvements, allowing faster and comfortable DR detection programs for larger population with high efficiency in the safety way. These results, highlights the strength and simplicity of such an automatic telemedicine program with the potential to maximize access and standardized monitoring during the fellow up visits with best cost clinical effectiveness and cost-effectiveness.
Book Synopsis Automated Fundus Images Analysis Techniques to Screen Retinal Diseases in Diabetic Patients by : Luca Giancardo
Download or read book Automated Fundus Images Analysis Techniques to Screen Retinal Diseases in Diabetic Patients written by Luca Giancardo and published by . This book was released on 2011 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this Ph.D. thesis, we study new methods to analyse digital fundus images of diabetic patients. In particular, we concentrate on the development of the algorithmic components of an automatic screening system for diabetic retinopathy. The techniques developed can be categorized in: quality assessment and improvement, lesion segmentation and diagnosis. For the first category, we present a fast algorithm to numerically estimate the quality of a single image by employing vasculature and colour-based features; additionally, we show how it is possible to increase the image quality and remove reflection artefacts by merging information gathered in multiple fundus images (which are captured by changing the stare point of the patient). For the second category, two families of lesion are targeted: exudate and microaneurysms; two new algorithms which work on single fundus images are proposed and compared with existing techniques in order to prove their efficacy; in the microaneurysms case, a new Radon transform-based operator was developed. In the last diagnosis category, we have developed an algorithm that diagnoses diabetic retinopathy and diabetic macular edema based on the lesions segmented; starting from a single unseen image, our algorithm can generate a diabetic retinopathy and ma cular edema diagnosis in _22 seconds on a 1.6 GHz machine with 4 GB of RAM; additionally, we show the first results of a macular edema detection algorithm based on multiple fundus images, which can potentially identify the swelling of the macula even when no lesions are visible.
Book Synopsis Automatic Screening and Classification of Diabetic Retinopathy Eye Fundus Images by : S. S. Rahim
Download or read book Automatic Screening and Classification of Diabetic Retinopathy Eye Fundus Images written by S. S. Rahim and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Fully-Automated Segmentation of Fluid/Cyst Regions in Optical Coherence Tomography Images with Diabetic Macular Edema using Neutrosophic Sets and Graph Algorithms by : Abdolreza Rashno
Download or read book Fully-Automated Segmentation of Fluid/Cyst Regions in Optical Coherence Tomography Images with Diabetic Macular Edema using Neutrosophic Sets and Graph Algorithms written by Abdolreza Rashno and published by Infinite Study. This book was released on with total page 13 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper presents a fully-automated algorithm to segment fluid-associated (fluid-filled) and cyst regions in optical coherence tomography (OCT) retina images of subjects with diabetic macular edema (DME).
Book Synopsis Feature Extraction and Image Processing for Computer Vision by : Mark Nixon
Download or read book Feature Extraction and Image Processing for Computer Vision written by Mark Nixon and published by Academic Press. This book was released on 2012-12-18 with total page 629 pages. Available in PDF, EPUB and Kindle. Book excerpt: Feature Extraction and Image Processing for Computer Vision is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in Matlab. Algorithms are presented and fully explained to enable complete understanding of the methods and techniques demonstrated. As one reviewer noted, "The main strength of the proposed book is the exemplar code of the algorithms." Fully updated with the latest developments in feature extraction, including expanded tutorials and new techniques, this new edition contains extensive new material on Haar wavelets, Viola-Jones, bilateral filtering, SURF, PCA-SIFT, moving object detection and tracking, development of symmetry operators, LBP texture analysis, Adaboost, and a new appendix on color models. Coverage of distance measures, feature detectors, wavelets, level sets and texture tutorials has been extended. Named a 2012 Notable Computer Book for Computing Methodologies by Computing Reviews Essential reading for engineers and students working in this cutting-edge field Ideal module text and background reference for courses in image processing and computer vision The only currently available text to concentrate on feature extraction with working implementation and worked through derivation
Book Synopsis 2016 International Conference on Control, Decision and Information Technologies (CoDIT) by : IEEE Staff
Download or read book 2016 International Conference on Control, Decision and Information Technologies (CoDIT) written by IEEE Staff and published by . This book was released on 2016-04-06 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Control, Decision, Optimization, Computer Science, Information Technologies
