A Novel Approach to Identify Diabetic Macular Edema Using a Minimal CNN Model
Author:
Affiliation:
1. Alliance University,Alliance School of Advance Computing,Bangalore,India
2. Jyothy Institute of Technology,Department of CSE,Bangalore,India
3. PES University,Department of CSE,Bangalore,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10434936/10434955/10435002.pdf?arnumber=10435002
Reference13 articles.
1. Epidemiology of diabetic retinopathy, diabetic macular edema and related vision loss
2. Ultrahigh-resolution high-speed retinal imaging using spectral-domain optical coherence tomography
3. Fully Automatic Segmentation of Fluorescein Leakage inSubjects with Diabetic Macular Edema;Rabbani;IOVS,2015
4. Automatic Detection of Exudates and Fovea for Grading of Diabetic Macular Edema in Fundus Image;Yu
5. Feature extraction and classification of retinal images for automated detection of Diabetic Retinopathy
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