An Automatic Detection and Assessment of Diabetic Macular Edema A long With Fovea Detection from Color Retinal Images
Journal Title: International Journal of Computer & organization Trends(IJCOT) - Year 2013, Vol 3, Issue 3
Abstract
Diabetic macular edema (DME) is an advanced symptom of diabetic retinopathy which lead to vision loss. Here a methodology comprises of two stages is proposed. First stage is detecting of DME and the next stage is assessing the severity of DME.DME detection is carried out via a supervised learning approach A technique called feature extraction is introduced here to capture the global characteristics of fundus images .It willdiscriminate the normal images from DME images. A rotational asymmetry metric is used to assess disease sever ity by examining macular region symmetry.Along with this fovea detection is also performed to make detecting process further easier
Authors and Affiliations
S. Fowjiya , M. Karnan , R. Sivakumar
Keywords
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