An automated image processing method for classification of diabetic retinopathy stages from conjunctival microvasculature images

Author:

Khansari Maziyar M.1,O’Neill William1,Penn Richard1,Blair Norman P.2,Chau Felix2,Shahidi Mahnaz2

Affiliation:

1. Univ. of Illinois at Chicago (United States)

2. Univ. of Illinois at Chicago (United States)

Publisher

SPIE

Reference16 articles.

1. Centers for Disease Control and Prevention. “National Diabetes Statistics Report: Estimates of Diabetes and its Burden in the United States, 2014. Atlanta, GA: Centers for Disease Control and Prevention; 2014.” (2015).

2. ANALYSIS OF RETINAL CAPILLARIES IN PATIENTS WITH TYPE 1 DIABETES AND NONPROLIFERATIVE DIABETIC RETINOPATHY USING ADAPTIVE OPTICS IMAGING

3. Principles of Optical Coherence Tomography Angiography;Huang,2015

4. Computer-Assisted Microaneurysm Turnover in the Early Stages of Diabetic Retinopathy

5. Optical Coherence Tomography Angiography in Diabetic Retinopathy: A Prospective Pilot Study

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