Diabetes and Retinopathy 1st Edition Ayman S. El-Baz

Diabetes and Retinopathy – Ebook Instant Download/Delivery ISBN(s): 9780128174388,0128174382

Product details:

• ISBN-10 ‏ : ‎ 0128174382
• ISBN-13 ‏ : ‎ 978-0128174388
• Author(s): Ayman S. El-Baz, Jasjit S. Suri

Diabetes and Retinopathy brings together the multifaceted information about the research and clinical application from academic, clinical, bioengineering and bioinformatics perspectives. The editors bring together a stellar cast of authors to pull together this diverse and interesting field. Academic researchers, bioengineers, new investigators and students interested in diabetes and retinopathy need an authoritative reference to bring this multidisciplinary field together to reduce the amount of time spent on source-searching and more time on actual research and the clinical application. This reference depicts the current clinical understanding of DR as well as the many scientific advances in understanding this condition.

• Provides valuable information for academic clinicians, researchers, bioengineers and industry on diabetes and retinopathy
• Discusses the impact of diabetic retinopathy, a major cause of new-onset visual loss in all the industrialized nations
• Covers statistical classification techniques and risk stratification

Table contents:

1: Complementary capabilities of photoacoustic imaging to existing optical ocular imaging techniques
2: Intraretinal fluid map generation in optical coherence tomography images

3: Fully automated identification and clinical classification of macular edema using optical coherence tomography images

4: Optimal surface segmentation with subvoxel accuracy in spectral domain optical coherence tomography images

5: Analysis of optical coherence tomography images using deep convolutional neural network for maculopathy grading

6: Segmentation of retinal layers from OCT scans

7: Low-complexity computer-aided diagnosis for diabetic retinopathy

8: Ophthalmic optical coherence tomography angiography in diabetes

9: Early detection of diabetics using retinal OCT images

10: A noninvasive approach for the early detection of diabetic retinopathy
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