Please use this identifier to cite or link to this item: http://repositorio.inesctec.pt/handle/123456789/6478
Title: Automatic Cyst Detection in OCT Retinal Images Combining Region Flooding and Texture Analysis
Authors: Gonzalez,A
Beatriz Remeseiro López
Ortega,M
Penedo,MG
Charlon,P
Issue Date: 2013
Abstract: In this work Optical Coherence Tomography (OCT) retinal images are automatically processed to detect the presence of cysts. The methodology is composed by three phases: region of interest where cysts will be searched is delimited; a watershed algorithm is applied to find all the possible regions in the image which might conform cystic structures; finally, texture analysis is performed in each region from previous phase to final classification. Results show that accuracy achieved with this method is over 80%.
URI: http://repositorio.inesctec.pt/handle/123456789/6478
http://dx.doi.org/10.1109/cbms.2013.6627825
metadata.dc.type: conferenceObject
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Appears in Collections:Non INESC TEC publications - Indexed Articles in Conferences

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