Please use this identifier to cite or link to this item: https://doi.org/10.1109/TMI.2010.2062197
Title: A computer assisted method for nuclear cataract grading from slit-lamp images using ranking
Authors: Huang, W.
Chan, K.L.
Li, H.
Lim, J.H.
Liu, J.
Wong, T.Y. 
Keywords: Computer-aided diagnosis (CAD)
grade
nuclear cataract
ranking
slit-lamp images
Issue Date: Jan-2011
Citation: Huang, W., Chan, K.L., Li, H., Lim, J.H., Liu, J., Wong, T.Y. (2011-01). A computer assisted method for nuclear cataract grading from slit-lamp images using ranking. IEEE Transactions on Medical Imaging 30 (1) : 94-107. ScholarBank@NUS Repository. https://doi.org/10.1109/TMI.2010.2062197
Abstract: In clinical diagnosis, a grade indicating the severity of nuclear cataract is often manually assigned by a trained ophthalmologist to a patient after comparing the lens' opacity severity in his/her slit-lamp images with a set of standard photos. This grading scheme is often subjective and time-consuming. In this paper, a novel computer-aided diagnosis method via ranking is proposed to facilitate nuclear cataract grading following conventional clinical decision-making process. The grade of nuclear cataract in a slit-lamp image is predicted using its neighboring labeled images in a ranked image list, which is achieved using a learned ranking function. This ranking function is learned via direct optimization on a newly proposed approximation to a ranking evaluation measure. Our proposed method has been evaluated by a large dataset composed of 1000 different cases, which are collected from an ongoing clinical population-based study. Both experimental results and comparison with several existing methods demonstrate the benefit of grading via ranking by our proposed method. © 2010 IEEE.
Source Title: IEEE Transactions on Medical Imaging
URI: http://scholarbank.nus.edu.sg/handle/10635/109138
ISSN: 02780062
DOI: 10.1109/TMI.2010.2062197
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