A computer-aided diagnosis system of nuclear cataract via ranking.
Journal Article (Journal Article)
A novel computer-aided diagnosis system of nuclear cataract via ranking is firstly proposed in this paper. The grade of nuclear cataract in a slit-lamp image is predicted based on its neighboring labeled images in a ranked images list, which is achieved using an optimal ranking function. A new ranking evaluation measure is proposed for learning the optimal ranking function via direct optimization. Our system has been tested by a large dataset composed of 1000 slit-lamp images from 1000 different cases. Both experimental results and comparison with several state-of-the-art methods indicate the superiority of our system.
Full Text
Duke Authors
Cited Authors
- Huang, W; Li, H; Chan, KL; Lim, JH; Liu, J; Wong, TY
Published Date
- 2009
Published In
- Med Image Comput Comput Assist Interv
Volume / Issue
- 12 / Pt 2
Start / End Page
- 803 - 810
PubMed ID
- 20426185
Digital Object Identifier (DOI)
- 10.1007/978-3-642-04271-3_97
Language
- eng
Conference Location
- Germany