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Proceedings Paper

Hierarchical detection of red lesions in retinal images by multiscale correlation filtering
Author(s): Bob Zhang; Xiangqian Wu; Jane You; Qin Li; Fakhri Karray
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Paper 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.

Paper Details

Date Published: 3 March 2009
PDF: 12 pages
Proc. SPIE 7260, Medical Imaging 2009: Computer-Aided Diagnosis, 72601L (3 March 2009); doi: 10.1117/12.813913
Show Author Affiliations
Bob Zhang, Univ. of Waterloo (Canada)
Xiangqian Wu, Harbin Institute of Technology (China)
The Hong Kong Polytechnic Univ. (Hong Kong, China)
Jane You, The Hong Kong Polytechnic Univ. (Hong Kong, China)
Qin Li, The Hong Kong Polytechnic Univ. (Hong Kong, China)
Fakhri Karray, Univ. of Waterloo (Canada)

Published in SPIE Proceedings Vol. 7260:
Medical Imaging 2009: Computer-Aided Diagnosis
Nico Karssemeijer; Maryellen L. Giger, Editor(s)

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