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Diagnosis of Diabetic Retinopathy in Ethiopia: Before the Deep Learning based Automation

Domain:

healthcare

Record type:

paper
Creator:
Hag
Publisher:
arXiv
Host:avatar
Introducing automated Diabetic Retinopathy (DR) diagnosis into Ethiopia is still a challenging task, despite recent reports that present trained Deep Learning (DL) based DR classifiers surpassing manual graders. This is mainly because of the expensive cost of conventional retinal imaging devices used in DL based classifiers. Current approaches that provide mobile based binary classification of DR, and the way towards a cheaper and offline multi-class classification of DR will be discussed in this paper.

Visit

doi.orgarxiv.org

Tasks

computer visionimage classification

Tags

Image and Video Processing (eess.IV)Computer Vision and Pattern Recognition (cs.CV)Machine Learning (cs.LG)FOS: Electrical engineering, electronic engineering, information engineeringFOS: Electrical engineering, electronic engineering, information engineeringFOS: Computer and information sciencesFOS: Computer and information sciences

Licenses

Creative Commons Attribution Non Commercial Share Alike 4.0 Internationalhttps://creativecommons.org/licenses/by-nc-sa/4.0/legalcode

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