Fully Automated Segmentation Of Fluid Regions In Exudative Age Related Macular Degeneration Subjects Kernel Graph Cut In Neutrosophic Domain
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| Author | : Abdolreza Rashno |
| Publisher | : Infinite Study |
| Total Pages | : 26 |
| Release | : |
| Genre | : |
| ISBN | : |
A fully-automated method based on graph shortest path, graph cut and neutrosophic (NS) sets is presented for fluid segmentation in OCT volumes for exudative age related macular degeneration (EAMD) subjects. The proposed method includes three main steps: 1) The inner limiting membrane (ILM) and the retinal pigment epithelium (RPE) layers are segmented using proposed methods based on graph shortest path in NS domain.
| Author | : FREERK G. VENHUIZEN |
| Publisher | : Infinite Study |
| Total Pages | : 25 |
| Release | : |
| Genre | : |
| ISBN | : |
We developed a deep learning algorithm for the automatic segmentation and quantification of intraretinal cystoid fluid (IRC) in spectral domain optical coherence tomography (SD-OCT) volumes independent of the device used for acquisition.
| Author | : Ayman S. El-Baz |
| Publisher | : Elsevier |
| Total Pages | : 248 |
| Release | : 2020-05-12 |
| Genre | : Medical |
| ISBN | : 0128174390 |
Diabetes and Retinopathy brings together the multifaceted information about the research and clinical application from academic, clinical, bioengineering and bioinformatics perspectives. The editors bring together a stellar cast of authors to pull together this diverse and interesting field. Academic researchers, bioengineers, new investigators and students interested in diabetes and retinopathy need an authoritative reference to bring this multidisciplinary field together to reduce the amount of time spent on source-searching and more time on actual research and the clinical application. This reference depicts the current clinical understanding of DR as well as the many scientific advances in understanding this condition. - Provides valuable information for academic clinicians, researchers, bioengineers and industry on diabetes and retinopathy - Discusses the impact of diabetic retinopathy, a major cause of new-onset visual loss in all the industrialized nations - Covers statistical classification techniques and risk stratification
| Author | : PLÁCIDO L. VIDAL |
| Publisher | : Infinite Study |
| Total Pages | : 25 |
| Release | : |
| Genre | : Medical |
| ISBN | : |
Nowadays, among the main causes of blindness in developed countries are age-related macular degeneration (AMD) and the diabetic macular edema (DME). Both diseases present, as a common symptom, the appearance of cystoid fluid regions inside the retinal layers. Optical coherence tomography (OCT) image modality was one of the main medical imaging techniques for the early diagnosis and monitoring of AMD and DME via this intraretinal fluid detection and characterization.
| Author | : Kohei Arai |
| Publisher | : Springer |
| Total Pages | : 1127 |
| Release | : 2019-06-22 |
| Genre | : Technology & Engineering |
| ISBN | : 3030228711 |
This book presents the proceedings of the Computing Conference 2019, providing a comprehensive collection of chapters focusing on core areas of computing and their real-world applications. Computing is an extremely broad discipline, encompassing a range of specialized fields, each focusing on particular areas of technology and types of application, and the conference offered pioneering researchers, scientists, industrial engineers, and students from around the globe a platform to share new ideas and development experiences. Providing state-of-the-art intelligent methods and techniques for solving real- world problems, the book inspires further research and technological advances in this important area.
| Author | : Abdolreza Rashno |
| Publisher | : Infinite Study |
| Total Pages | : 13 |
| Release | : |
| Genre | : |
| ISBN | : |
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).
| Author | : M. Jorge Cardoso |
| Publisher | : Springer |
| Total Pages | : 399 |
| Release | : 2017-09-07 |
| Genre | : Computers |
| ISBN | : 3319675583 |
This book constitutes the refereed joint proceedings of the Third International Workshop on Deep Learning in Medical Image Analysis, DLMIA 2017, and the 6th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, in Québec City, QC, Canada, in September 2017. The 38 full papers presented at DLMIA 2017 and the 5 full papers presented at ML-CDS 2017 were carefully reviewed and selected. The DLMIA papers focus on the design and use of deep learning methods in medical imaging. The ML-CDS papers discuss new techniques of multimodal mining/retrieval and their use in clinical decision support.
| Author | : Yanhui Guo |
| Publisher | : Academic Press |
| Total Pages | : 372 |
| Release | : 2019-08-08 |
| Genre | : Computers |
| ISBN | : 0128181494 |
Neutrosophic Set in Medical Image Analysis gives an understanding of the concepts of NS, along with knowledge on how to gather, interpret, analyze and handle medical images using NS methods. It presents the latest cutting-edge research that gives insight into neutrosophic set's novel techniques, strategies and challenges, showing how it can be used in biomedical diagnoses systems. The neutrosophic set (NS), which is a generalization of fuzzy set, offers the prospect of overcoming the restrictions of fuzzy-based approaches to medical image analysis. - Introduces the mathematical model and concepts of neutrosophic theory and methods - Highlights the different techniques of neutrosophic theory, focusing on applying the neutrosophic set in image analysis to support computer- aided diagnosis (CAD) systems, including approaches from soft computing and machine learning - Shows how NS techniques can be applied to medical image denoising, segmentation and classification - Provides challenges and future directions in neutrosophic set based medical image analysis
| Author | : Elyas Rashnoa |
| Publisher | : Infinite Study |
| Total Pages | : 40 |
| Release | : |
| Genre | : Mathematics |
| ISBN | : |
In this work, a new clustering algorithm is proposed based on neutrosophic set (NS) theory. The main contribution is to use NS to handle boundary and outlier points as challenging points of clustering methods. In the first step, a new de nition of data indeterminacy (indeterminacy set) is proposed in NS domain based on density properties of data.
| Author | : Michael Unser |
| Publisher | : Cambridge University Press |
| Total Pages | : 387 |
| Release | : 2014-08-21 |
| Genre | : Computers |
| ISBN | : 1107058546 |
A detailed guide to sparsity, providing a description of their transform-domain statistics and applying the models to practical algorithms.
