- Automated detection of red lesions from digital colour fundus photographsHussain F Jaafar
Department of Electrical Engineering and Electronics, University of Liverpool, Brownlow Hill, Liverpool L69 3GJ, UK
Conf Proc IEEE Eng Med Biol Soc 2011:6232-5. 2011..7% and a specificity of 98.6% (at lesion level). The performance of the proposed method shows considerable promise for detection of red lesions as well as other types of lesions...
- Detection of exudates in retinal images using a pure splitting techniqueHussain F Jaafar
Department of Electrical Engineering and Electronics, University of Liverpool, Brownlow Hill, L69 3GJ, UK
Conf Proc IEEE Eng Med Biol Soc 2010:6745-8. 2010..2% sensitivity, 99.3% specificity, and 99.5% accuracy. Due to its results the proposed method can achieve superior performance compared to existing techniques and is robust to image quality variability...
- Decision support system for the detection and grading of hard exudates from color fundus photographsHussain F Jaafar
University of Liverpool, Department of Electrical Engineering and Electronics, Liverpool, United Kingdom
J Biomed Opt 16:116001. 2011..Because of its competitive performance and ability to deal efficiently with images of variable quality, the proposed technique offers promising and efficient performance as part of an automated screening system for diabetic retinopathy...