@inproceedings{28f87c796e304c89bd364963c6d52e31,
title = "Content-based medical image retrieval with metric learning via rank correlation",
abstract = "A novel content-based medical image retrieval method with metric learning via rank correlation is proposed in this paper. A new rank correlation measure is proposed to learn a metric encoding the pairwise similarity between images via direct optimization. Our method has been evaluated with a large population-based dataset composed of 5000 slit-lamp images with different nuclear cataract severities. Experimental results and statistical analysis demonstrate the superiority of our method over several popular metric learning methods in content-based slit-lamp image retrieval.",
author = "Wei Huang and Chan, {Kap Luk} and Huiqi Li and Lim, {Joo Hwee} and Jiang Liu and Wong, {Tien Yin}",
year = "2010",
doi = "10.1007/978-3-642-15948-0_3",
language = "English",
isbn = "3642159478",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "18--25",
booktitle = "Machine Learning in Medical Imaging - First International Workshop, MLMI 2010, Held in Conjunction with MICCAI 2010, Proceedings",
note = "1st International Workshop on Machine Learning in Medical Imaging, MLMI 2010, Held in Conjunction with MICCAI 2010 ; Conference date: 20-09-2010 Through 20-09-2010",
}