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"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"--
Sommario
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
Info autore
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.
