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Clinical retina disorders have been increasingly attracting researchers that aim to reduce blindness rates. Currently, most ophthalmologists perform diagnosis by visual observation and interpretation. Treatment is significantly dependent on having early and accurate diagnosis, which can be significantly improved by employing disease-specific computer-aided diagnostic (CAD) systems based on different image modalities such as: optical coherence tomography (OCT), Fundus Imaging and optical coherence tomography angiography (OCTA).
This text is part of a three-volume work that describes in detail, the latest imaging techniques in which to bring OCT, fundus Imaging and OCTA to accurately facilitate the diagnosis of retinal diseases. This volume covers the state-of-the-art techniques of fundus imaging for the diagnosis of retinal diseases. The book describes texture interpretability of fundus imaging and diabetic retinopathy; enface image registration; automated detection and prediction of AMD; interobserver variability in the determination of diabetic retinopathy and quality of fundus image; plus disease in preterm infants; retinal disease management using fundus autofluorescence images; and joint cup and disc segmentation.The key audiences for this text include biomedical and optical imaging specialists and ophthalmologists. This volume is also highly useful for graduate students in biomedical imaging.
Ayman El-Baz is a Distinguished Professor at University of Louisville, Kentucky, United States and University of Louisville at Alamein International University (UofL-AIU), New Alamein City, Egypt. Dr. El-Baz has almost two decades of hands-on experience in the fields of bio-imaging modeling and non-invasive computer-assisted diagnosis systems. He has authored or co-authored more than 700 technical articles (213 journal articles, 53 books, 107 book chapters, 262 refereed-conference papers, 216 abstracts, and 38 US patents and Disclosures).
Jasjit S. Suri is an innovator, scientist, and an internationally known world leader in biomedical engineering. Dr. Suri has spent over 25 years in the field of biomedical engineering/devices and its management. Dr. Suri was crowned with President's Gold medal in 1980 and made Fellow of the American Institute of Medical and Biological Engineering for his outstanding contributions. In 2018, he was awarded the Marquis Life Time Achievement Award for his outstanding contributions and dedication to medical imaging and its management.
1. Texture Interpretability of Fundus Imaging and Diabetic Retinopathy: A Review2. A two-phase novel optic disc detection algorithm based on vesselness distribution and a fuzzy classifier using vessel ramification and fundus color features3. Application of enface image registration / alignment to introduce new ocular imaging biomarkers4. Existing techniques used for retinal image analysis for automated detection and prediction of AMD5. Interobserver variability in the determination of diabetic retinopathy and quality of fundus image6. Computer aided diagnosis of plus disease in preterm infants7. Retinal disease management using fundus autofluorescence images 8. A review of mainstream ophthalmic AI algorithms: Advances, limitations and challenges9. Diabetic Retinopathy detection and classification through fundus images using Alexnet10. An Approach for Disclosing of the Optic Disk and Detection of Exudates in fundus images11. A framework for joint Cup and Disc Segmentation in Fundus Images
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