title: 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.
authors.affiliation: Université de Bourgogne, Laboratoire Le2i UMR CNRS 6306, Le Creusot 71200, France. Electronic address: ali.sharib2002@gmail.com.
authors.forename: Sharib
authors.initials: S
authors.lastname: Ali
authors.forename: Désiré
authors.initials: D
authors.lastname: Sidibé
authors.forename: Kedir M
authors.initials: KM
authors.lastname: Adal
authors.forename: Luca
authors.initials: L
authors.lastname: Giancardo
authors.forename: Edward
authors.initials: E
authors.lastname: Chaum
authors.forename: Thomas P
authors.initials: TP
authors.lastname: Karnowski
authors.forename: Fabrice
authors.initials: F
authors.lastname: Mériaudeau
mesh_terms: D059925:Anatomic Landmarks; D001271:Atlases as Topic; D003930:Diabetic Retinopathy / Q000175:diagnosis*; D005122:Exudates and Transudates; D006801:Humans; D008269:Macular Edema / Q000175:diagnosis*; D015233:Models, Statistical; D014481:United States
keywords: Exudate segmentation; Retinal images registration; Statistical retinal atlas
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