Diabetes and Fundus OCT
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Diabetes and Fundus OCT

1st Edition - April 2, 2020

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  • Editors: Ayman S.El-Baz, Jasjit Suri
  • eBook ISBN: 9780128174418
  • Paperback ISBN: 9780128174401

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Description

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.

Key Features

  • 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

Readership

Diabetes, endocrinology, cardiovascular, and ophthalmology researchers; bioengineers and bioinformatics and imaging scientists interested in diabetes

Table of Contents

  • 1. Computer Aided Diagnosis System Based on a Comprehensive Local Features Analysis for Early Diabetic Retinopathy Detection using OCTA

    2. Deep Learning Approach for Classification of Eye Diseases Based on Color Fundus Images

    3. Fundus Retinal Image Analyses for Screening and Diagnosing Diabetic Retinopathy, Macular edema, and Glaucoma Disorders

    4. Mobile Phone Based Diabetic Retinopathy Detection System

    5. Computer Aided Diagnosis of Age Related Macular Degeneration by OCT, Fundus Image Analysis

    6. Retinal Diseases Diagnosis Based on Optical Coherence Tomography Angiography (OCTA)

    7. Optical Coherence Tomography: A Review

    8. An Accountable Saliency-Oriented Data-Driven Approach to Diabetic Retinopathy Detection

    9. Machine Learning Based Abnormalities Detection In Retinal Fundus Images

    10. Optical Coherence Tomography Angiography of Retinal Vascular Diseases

    11. Screening of The Diabetic Retinopathy In Engineering

    12. Optical Coherence Tomography Angiography In Type 3 Neovascularization

    13. Diabetic Retinopathy Detection in Ocular Images by Dictionary Learning

    14. Lesion Detection Using Segmented Structure Of Retina

     

Product details

  • No. of pages: 434
  • Language: English
  • Copyright: © Elsevier 2020
  • Published: April 2, 2020
  • Imprint: Elsevier
  • eBook ISBN: 9780128174418
  • Paperback ISBN: 9780128174401

About the Editors

Ayman S.El-Baz

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).

Affiliations and Expertise

Professor, University Scholar, and Chair of the Bioengineering Department, University of Louisville, USA

Jasjit Suri

Jasjit S. Suri, PhD, MBA, FIEEE, FAMIBE, FAIUM, FSVM, FAPVS, is an innovator, visionary, scientist, and an internationally known world leader in Biomedical Engineering and its management. Dr. Suri received the Director General's Gold Medal in 1980 as well as a Lifetime Achievement Award from Marquis in 2018. He is a Fellow of Institute of Electrical and Electronics Engineering (IEEE, 2021), American Institute of Medical and Biological Engineering (AIMBE, 2004), awarded by the National Academy of Sciences, Washington DC, American Institute of Ultrasound in Medicine (AIUM, 2019), Society of Vascular Medicine (SVM, 2021), and Asia Pacific Vascular Society (APVS, 2020). He is currently Chairman of AtheroPoint™ in Roseville, CA, USA, dedicated to imaging technologies for cardiovascular and stroke. He has nearly 25,000 citations, co-authored 60 books, and holds 50 US/European patents.

Affiliations and Expertise

Chairman of AtheroPoint, Roseville, CA, USA

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