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A Survey on Lesion Detection in Diabetic Retinopathy

Author(s):

Blessy Thomas , MBCCET, PEERMADE, IDUKKI ; Annmary Thomas, MBCCET, PEERMADE, IDUKKI

Keywords:

Diabetic Retinopathy, Screening, Automatic Detection, Fundus Images, Blood Vessels, Optic Disk, Red Lesions, Microaneurysms, Hemorrhages, False Positive Elimination

Abstract

Diabetic retinopathy (DR) is a complication of diabetes that can lead to impairment of vision and even blindness. It is the most common cause of blindness in the working age population. Several methods have been developed for the automatic detection of red lesions in colour fundus images. Detection of hemorrhages (HE) and microaneurysms (MA) are more difficult task because most of the false positives at the vessel segmentation step are actually lesions. A common methodology adopted for combined MA and HE detection consists in identifying all dark-colored structures in the image, mainly through a thresholding, combined with adapted preprocessing and then in removing the vessels from the resulting set of candidates. In recent years use a new set of dynamic shape features for the detection purpose. In this paper, we conduct a deep study about this problem and its solutions.

Other Details

Paper ID: IJSRDV6I20480
Published in: Volume : 6, Issue : 2
Publication Date: 01/05/2018
Page(s): 1620-1621

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