Content-based medical image retrieval with metric learning via rank correlation

Authors:
Wei Huang;Huiqi Li;Joo Hwee Lim;Jiang Liu;Tien Yin Wong;Kap Luk Chan
Affiliations:
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore;Institute for Infocomm Research, Agency for Science, Technology and Research, Singapore;Institute for Infocomm Research, Agency for Science, Technology and Research, Singapore;Institute for Infocomm Research, Agency for Science, Technology and Research, Singapore;National University of Singapore, Singapore National Eye Center and Singapore Eye Research Institute;School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore
Venue:
MLMI'10 Proceedings of the First international conference on Machine learning in medical imaging
Year:
2010

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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.