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Retina lesion and microaneurysm segmentation using morphological reconstruction methods with ground-truth data

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5 Author(s)

In this work we report on a method for lesion segmentation based on the morphological reconstruction methods of Sbeh et. al. We adapt the method to include segmentation of dark lesions with a given vasculature segmentation. The segmentation is performed at a variety of scales determined using ground-truth data. Since the method tends to over-segment imagery, ground-truth data was used to create post-processing filters to separate nuisance blobs from true lesions. A sensitivity and specificity of 90% of classification of blobs into nuisance and actual lesion was achieved on two data sets of 86 images and 1296 images.

Published in:

2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Date of Conference:

20-25 Aug. 2008