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


  • eng

Conference Location

  • Germany