A computer assisted method for nuclear cataract grading from slit-lamp images using ranking.

Published

Journal Article

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.

Full Text

Duke Authors

Cited Authors

  • Huang, W; Chan, KL; Li, H; Lim, JH; Liu, J; Wong, TY

Published Date

  • January 2011

Published In

Volume / Issue

  • 30 / 1

Start / End Page

  • 94 - 107

PubMed ID

  • 20679026

Pubmed Central ID

  • 20679026

Electronic International Standard Serial Number (EISSN)

  • 1558-254X

Digital Object Identifier (DOI)

  • 10.1109/TMI.2010.2062197

Language

  • eng

Conference Location

  • United States