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
Please Note: This is an On Demand product, delivery may take up to 11 working days after payment has been received.
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
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 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 computerassisted 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).
Suri, Jasjit S.
Dr. Jasrit Suri, PhD, MBA, Fellow AIMBE is an innovator, visionary, scientist, and an internationally known world leader. Dr. Suri received the Director General's Gold medal in 1980 and the Fellow of American Institute of Medical and Biological Engineering, awarded by the National Academy of Sciences, Washington DC in 2004. He has published over 650 peer reviewed articles and has over 100 innovations/trademarks. He has author/coauthored over 45 books. He is currently Chairman of Global Biomedical Technologies, Inc., Roseville, CA, and is on the board of AtheroPoint, Roseville, CA, a company dedicated to Atherosclerosis Imaging for early screening for stroke and cardiovascular monitoring. He has held positions as a chairman of IEEE Denver section and advisor board member to healthcare industries and several universities in USA and abroad.