Statistical atlas based exudate segmentation

Abstract : Diabetic macular edema (DME) is characterized by hard exudates. In this article, we propose a novel statistical atlas based method for segmentation of such exudates. Any test fundus image is first warped on the atlas co-ordinate and then a distance map is obtained with the mean atlas image. This leaves behind the candidate lesions. Post-processing schemes are introduced for final segmentation of the exudate. Experiments with the publicly available HEI-MED data-set shows good performance of the method. A lesion localization fraction of 82.5% at 35% of non-lesion localization fraction on the FROC curve is obtained. The method is also compared to few most recent reference methods.
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Submitted on : Tuesday, March 31, 2015 - 12:19:43 PM
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Sharib Ali, Désiré Sidibé, Kedir Adal, Giancardo Luca, M.D. Edward Chaum, et al.. Statistical atlas based exudate segmentation. Computerized Medical Imaging and Graphics, Elsevier, 2013, Retinal Image Analysis, 37 (5-6), pp.358-368. ⟨hal-00839364⟩



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