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- W77367916 abstract "One of the most common modalities to examine the eye- background is the fundus image. These images are photographs taken through the pupil by a fundus camera. The evaluation of these im- ages is usually carried out by ophthalmologists or experts during visual inspection. The aim of our work is to accelerate this process by a fully- automatic screening. To enable the automatic disease and tissue specific feature extraction, it is necessary to segment the different visible struc- tures in the images. Our group already published methods to extract the vessel tree and estimate the position and diameter of the optic nerve head. In this paper, we present our methods to localize the fovea and the macula region, and compare it to other approaches using the High Resolution Fundus database. Our evaluation showed, that our proposed method is capable of localizing the macula region with an average dis- tance error of 0.1 times optic disk diameter." @default.
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- W77367916 date "2014-01-01" @default.
- W77367916 modified "2023-09-25" @default.
- W77367916 title "Automatic Fovea Localization in Fundus Images" @default.
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- W77367916 doi "https://doi.org/10.1007/978-3-642-54111-7_25" @default.
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