Diabetes and Fundus OCT

Häftad, Engelska, 2020

Av Ayman S. El-Baz, Jasjit S. Suri, USA) S. El-Baz, Ayman (University of Louisville, USA) Suri, Jasjit S. (Chairman, AtheroPoint LLC, Ayman S. El-Baz, Jasjit Suri

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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

Produktinformation

Utgivningsdatum2020-04-03
Mått191 x 235 x undefined mm
Vikt970 g
FormatHäftad
SpråkEngelska
SerieComputer-Assisted Diagnosis
Antal sidor434
FörlagElsevier Science
ISBN9780128174401

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Dr. El-Baz is a Professor, University Scholar, and Chair of the Bioengineering Department at the University of Louisville, KY. Dr. El-Baz earned his bachelor's and master’s degrees in Electrical Engineering in 1997 and 2001, respectively. He earned his doctoral degree in electrical engineering from the University of Louisville in 2006. In 2009, Dr. El-Baz was named a Coulter Fellow for his contributions to the field of biomedical translational research. Dr. El-Baz has 15 years of hands-on experience in the fields of bio-imaging modeling and non-invasive computer-assisted diagnosis systems. He has authored or coauthored more than 450 technical articles (105 journals, 15 books, 50 book chapters, 175 refereed-conference papers, 100 abstracts, and 15 US patents). Dr. Jasjit Suri, PhD, MBA, is a renowned innovator and scientist. He received the Director General’s Gold Medal in 1980 and is a Fellow of several prestigious organizations, including the American Institute of Medical and Biological Engineering and the Institute of Electrical and Electronics Engineers. Dr. Suri has been honored with lifetime achievement awards from Marcus, NJ, USA, and Graphics Era University, India. He has published nearly 300 peer-reviewed AI articles, 100 books, and holds 100 innovations/trademarks, achieving an H-index of nearly 100 with about 43,000 citations. Dr. Suri has served as chairman of AtheroPoint, IEEE Denver section, and as an advisory board member to various healthcare industries and universities globally.

1. Computer Aided Diagnosis System Based on a Comprehensive Local Features Analysis for Early Diabetic Retinopathy Detection using OCTA2. Deep Learning Approach for Classification of Eye Diseases Based on Color Fundus Images3. Fundus Retinal Image Analyses for Screening and Diagnosing Diabetic Retinopathy, Macular edema, and Glaucoma Disorders4. Mobile Phone Based Diabetic Retinopathy Detection System5. Computer Aided Diagnosis of Age Related Macular Degeneration by OCT, Fundus Image Analysis6. Retinal Diseases Diagnosis Based on Optical Coherence Tomography Angiography (OCTA)7. Optical Coherence Tomography: A Review8. An Accountable Saliency-Oriented Data-Driven Approach to Diabetic Retinopathy Detection9. Machine Learning Based Abnormalities Detection In Retinal Fundus Images10. Optical Coherence Tomography Angiography of Retinal Vascular Diseases11. Screening of The Diabetic Retinopathy In Engineering12. Optical Coherence Tomography Angiography In Type 3 Neovascularization13. Diabetic Retinopathy Detection in Ocular Images by Dictionary Learning14. Lesion Detection Using Segmented Structure Of Retina