Learn to recognize pathological myopia in fundus images using bag-of-feature and sparse learning approach

Yanwu Xu, Jiang Liu, Zhuo Zhang, Ngan Meng Tan, Damon Wing Kee Wong, Seang Mei Saw, Tien Yin Wong

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

10 Citations (Scopus)

Abstract

Pathological myopia is a leading cause of visual impairment, and can lead to blindness in children if left undetected. We present a bag-of-feature and sparse learning based framework to automatically recognize pathological myopia in retinal fundus images and discover the most related visual features corresponding to the retinal changes in pathological myopia. In the learning phase, the codebook for the bag-of-feature model and the classification model are first learnt, and the top related visual features are discovered via sparse learning con-currently. In the testing phase, for a given retinal fundus image, local features are first extracted and then quantized with the learned codebook to obtain the global feature. Finally, the classification model is used to determine the presence of pathological myopia. Our results on a population based study dataset of 2258 images achieve a 0.964 ± 0.007 AUC value and 90.6±1.0% balanced accuracy at a 85.0% specificity. The results are promising for further development and validation of this framework.

Original languageEnglish
Title of host publicationISBI 2013 - 2013 IEEE 10th International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro
Pages888-891
Number of pages4
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013 - San Francisco, CA, United States
Duration: 7 Apr 201311 Apr 2013

Publication series

NameProceedings - International Symposium on Biomedical Imaging
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452

Conference

Conference2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013
Country/TerritoryUnited States
CitySan Francisco, CA
Period7/04/1311/04/13

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

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