@inproceedings{459b32438ab44ad9afdcd7410e72f312,
title = "A computer-aided diagnosis system of nuclear cataract via ranking",
abstract = "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.",
author = "Wei Huang and Huiqi Li and Chan, {Kap Luk} and Lim, {Joo Hwee} and Jiang Liu and Wong, {Tien Yin}",
year = "2009",
doi = "10.1007/978-3-642-04271-3_97",
language = "English",
isbn = "3642042708",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
number = "PART 2",
pages = "803--810",
booktitle = "Medical Image Computing and Computer-Assisted Intervention - MICCAI2009 - 12th International Conference, Proceedings",
edition = "PART 2",
note = "12th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2009 ; Conference date: 20-09-2009 Through 24-09-2009",
}