Large scale medical image search via unsupervised PCA hashing

Xiang Yu, Shaoting Zhang, Bo Liu, Lin Zhong, Dimitris N. Metaxas

Research output: Chapter in Book/Report/Conference proceedingConference contribution

25 Scopus citations

Abstract

Medical image search is a significant way to provide similar clinical cases for doctors. Text based and content based image retrieval techniques have been widely investigated in the last decades. However, handling text-missing images and large scale medical database is still challenging. Traditional methods may encounter unsolvable efficiency problem or storage problem when tackling millions of images with general computers. In this paper, we employ an efficient PCA hashing based method for mapping raw features into locality preserving binary code. We focus on investigating the efficiency of PCA hashing while maintaining its competitive performance in medical image search. Ranking aggregation is used to achieve fusion of different features or fusion of retrieval results, which significantly improves single feature retrieval rate and thus compensates the overall accuracy. Without significantly sacrificing the retrieval accuracy, the benefit is a huge gain in physical memory and runtime efficiency. Experimental results show that hashing methods achieve far lower memory and far less time consuming handling large scale database.

Original languageEnglish (US)
Title of host publicationProceedings - 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2013
Pages393-398
Number of pages6
DOIs
StatePublished - 2013
Event2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2013 - Portland, OR, United States
Duration: Jun 23 2013Jun 28 2013

Publication series

NameIEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
ISSN (Print)2160-7508
ISSN (Electronic)2160-7516

Other

Other2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2013
Country/TerritoryUnited States
CityPortland, OR
Period6/23/136/28/13

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

Keywords

  • Large scale
  • PCA hashing
  • medical image retrieval

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