Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/40794
Title: Hierarchical detection of red lesions in retinal images by multiscale correlation filtering
Authors: Zhang, YB
Wu, XQ
You, J 
Li, Q
Karray, F
Keywords: Algorithms
Computer-aided diagnosis
Retina
Issue Date: 2009
Publisher: SPIE-International Society for Optical Engineering
Source: Proceedings of SPIE : the International Society for Optical Engineering, 2009, v. 7260, 72601L How to cite?
Journal: Proceedings of SPIE : the International Society for Optical Engineering 
Abstract: This paper presents an approach to the computer aided diagnosis (CAD) of diabetic retinopathy (DR) -- a common and severe complication of long-term diabetes which damages the retina and cause blindness. Since red lesions are regarded as the first signs of DR, there has been extensive research on effective detection and localization of these abnormalities in retinal images. In contrast to existing algorithms, a new approach based on Multiscale Correlation Filtering (MSCF) and dynamic thresholding is developed. This consists of two levels, Red Lesion Candidate Detection (coarse level) and True Red Lesion Detection (fine level). The approach was evaluated using data from Retinopathy On-line Challenge (ROC) competition website and we conclude our method to be effective and efficient.
Description: Medical Imaging 2009 : Computer-Aided Diagnosis, Florida, U.S.A., 7-12 February 2009
URI: http://hdl.handle.net/10397/40794
ISSN: 0277-786X
EISSN: 1996-756X
DOI: 10.1117/12.813913
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