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Lookup NU author(s): Dr Gerrit HilgenORCiD,
Professor Evelyne SernagorORCiD
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Copyright © 2017 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved. The visual information processing starts in the retina. The working mechanisms of its complex stratified circuits, in which ganglion cells play a central role, is still largely unknown. Understanding the visual coding is a challenging and active research area also requiring automated analysis of retinal images. It demands appropriate algorithms and methods for studying a network population of strictly entangled cells. Within this framework, we propose a combined technique for segmenting retinal ganglion cell (RGC) bodies, the output elements of the retina. The method incorporates a blob enhancement filtering in order to select the specific cell shapes, an active contour process for precise border segmentation and a watershed transform step which separates single cell contours in possible grouped segmentations. The proposed approach has been validated on fluorescent microscopy images of mouse retinas with promising results.
Author(s): Baglietto S, Kepiro IE, Hilgen G, Sernagor E, Murino V, Sona D
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017)
Year of Conference: 2017
Online publication date: 08/03/2017
Acceptance date: 02/04/2016
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