Diabetes and Fundus Oct

ISBN-13: 9780128174401 / Angielski / Miękka / 2020 / 450 str.

Ayman S. El-Baz; Jasjit S. Suri

Spis treści

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