@inproceedings{875ac560252c405d86ceb69cec63c145,
title = "Feature analysis in slit-lamp image for nuclear cataract diagnosis",
abstract = "Nuclear cataract is the most common type of age-related cataract and it is clinically diagnosed using slit-lamp images. Objective measurement of the features in slit-lamp image is investigated using a computerized software system. The correlation between the features and the nuclear cataract grades is analyzed. Experimental results show that intensity of sulcus, color in the lens and nucleus region, intensity of nucleus, and color in posterior reflex region are the key features for grading nuclear cataract. This study of feature analysis can benefit clinical cataract diagnosis and clinical research. The feature analysis can also be utilized to investigate the performance of different graders and be employed in training of new graders.",
keywords = "Computer-aided diagnosis, Feature analysis, Nuclear cataract, Slit-lamp image",
author = "Huiqi Li and Lim, \{Joo Hwee\} and Jiang Liu and Damon Wing and Kee Wong and Wong, \{Tien Yin\}",
year = "2010",
doi = "10.1109/BMEI.2010.5639467",
language = "English",
isbn = "9781424464968",
series = "Proceedings - 2010 3rd International Conference on Biomedical Engineering and Informatics, BMEI 2010",
publisher = "IEEE Computer Society",
pages = "253--256",
booktitle = "Proceedings - 2010 3rd International Conference on Biomedical Engineering and Informatics, BMEI 2010",
address = "United States",
}