Hierarchical detection of red lesions in retinal images by multiscale correlation filtering

Bob Zhang; Xiangqian Wu; Jane You; Qin Li; Fakhri Karray

doi:10.1117/12.813913

3 March 2009 Hierarchical detection of red lesions in retinal images by multiscale correlation filtering

Bob Zhang, Xiangqian Wu, Jane You, Qin Li, Fakhri Karray

Proceedings Volume 7260, Medical Imaging 2009: Computer-Aided Diagnosis; 72601L (2009) https://doi.org/10.1117/12.813913
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States

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.

Citation Download Citation

Bob Zhang, Xiangqian Wu, Jane You, Qin Li, and Fakhri Karray "Hierarchical detection of red lesions in retinal images by multiscale correlation filtering", Proc. SPIE 7260, Medical Imaging 2009: Computer-Aided Diagnosis, 72601L (3 March 2009); https://doi.org/10.1117/12.813913

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