Incorporating privileged genetic information for fundus image based glaucoma detection

Lixin Duan; Yanwu Xu; Wen Li; Lin Chen; Damon Wing Kee Wong; Tien Yin Wong; Jiang Liu

doi:10.1007/978-3-319-10470-6_26

Incorporating privileged genetic information for fundus image based glaucoma detection

Lixin Duan
, Yanwu Xu
, Wen Li
, Lin Chen
, Damon Wing Kee Wong
, Tien Yin Wong
, Jiang Liu

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

18 Citations (Scopus)

Abstract

Visual features extracted from retinal fundus images have been increasingly used for glaucoma detection, as those images are generally easy to acquire. In recent years, genetic researchers have found that some single nucleic polymorphisms (SNPs) play important roles in the manifestation of glaucoma and also show superiority over fundus images for glaucoma detection. In this work, we propose to use the SNPs to form the so-called privileged information and deal with a practical problem where both fundus images and privileged genetic information exist for the training subjects, while the test objects only have fundus images. To solve this problem, we present an effective approach based on the learning using privileged information (LUPI) paradigm to train a predictive model for the image visual features. Extensive experiments demonstrate the usefulness of our approach in incorporating genetic information for fundus image based glaucoma detection.

Original language	English
Title of host publication	Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014 - 17th International Conference, Proceedings
Publisher	Springer Verlag
Pages	204-211
Number of pages	8
Edition	PART 2
ISBN (Print)	9783319104690
DOIs	https://doi.org/10.1007/978-3-319-10470-6_26
Publication status	Published - 2014
Externally published	Yes
Event	17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014 - Boston, MA, United States Duration: 14 Sept 2014 → 18 Sept 2014

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	8674 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014
Country/Territory	United States
City	Boston, MA
Period	14/09/14 → 18/09/14

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-319-10470-6_26

Cite this

Duan, L., Xu, Y., Li, W., Chen, L., Wong, D. W. K., Wong, T. Y., & Liu, J. (2014). Incorporating privileged genetic information for fundus image based glaucoma detection. In Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014 - 17th International Conference, Proceedings (PART 2 ed., pp. 204-211). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8674 LNCS, No. PART 2). Springer Verlag. https://doi.org/10.1007/978-3-319-10470-6_26

Duan, Lixin ; Xu, Yanwu ; Li, Wen et al. / Incorporating privileged genetic information for fundus image based glaucoma detection. Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014 - 17th International Conference, Proceedings. PART 2. ed. Springer Verlag, 2014. pp. 204-211 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

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title = "Incorporating privileged genetic information for fundus image based glaucoma detection",

abstract = "Visual features extracted from retinal fundus images have been increasingly used for glaucoma detection, as those images are generally easy to acquire. In recent years, genetic researchers have found that some single nucleic polymorphisms (SNPs) play important roles in the manifestation of glaucoma and also show superiority over fundus images for glaucoma detection. In this work, we propose to use the SNPs to form the so-called privileged information and deal with a practical problem where both fundus images and privileged genetic information exist for the training subjects, while the test objects only have fundus images. To solve this problem, we present an effective approach based on the learning using privileged information (LUPI) paradigm to train a predictive model for the image visual features. Extensive experiments demonstrate the usefulness of our approach in incorporating genetic information for fundus image based glaucoma detection.",

author = "Lixin Duan and Yanwu Xu and Wen Li and Lin Chen and Wong, \{Damon Wing Kee\} and Wong, \{Tien Yin\} and Jiang Liu",

year = "2014",

doi = "10.1007/978-3-319-10470-6\_26",

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booktitle = "Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014 - 17th International Conference, Proceedings",

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Duan, L, Xu, Y, Li, W, Chen, L, Wong, DWK, Wong, TY & Liu, J 2014, Incorporating privileged genetic information for fundus image based glaucoma detection. in Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014 - 17th International Conference, Proceedings. PART 2 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 8674 LNCS, Springer Verlag, pp. 204-211, 17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014, Boston, MA, United States, 14/09/14. https://doi.org/10.1007/978-3-319-10470-6_26

Incorporating privileged genetic information for fundus image based glaucoma detection. / Duan, Lixin; Xu, Yanwu; Li, Wen et al.
Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014 - 17th International Conference, Proceedings. PART 2. ed. Springer Verlag, 2014. p. 204-211 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8674 LNCS, No. PART 2).

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

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T1 - Incorporating privileged genetic information for fundus image based glaucoma detection

AU - Duan, Lixin

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AU - Li, Wen

AU - Chen, Lin

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AU - Wong, Tien Yin

AU - Liu, Jiang

PY - 2014

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AB - Visual features extracted from retinal fundus images have been increasingly used for glaucoma detection, as those images are generally easy to acquire. In recent years, genetic researchers have found that some single nucleic polymorphisms (SNPs) play important roles in the manifestation of glaucoma and also show superiority over fundus images for glaucoma detection. In this work, we propose to use the SNPs to form the so-called privileged information and deal with a practical problem where both fundus images and privileged genetic information exist for the training subjects, while the test objects only have fundus images. To solve this problem, we present an effective approach based on the learning using privileged information (LUPI) paradigm to train a predictive model for the image visual features. Extensive experiments demonstrate the usefulness of our approach in incorporating genetic information for fundus image based glaucoma detection.

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Duan L, Xu Y, Li W, Chen L, Wong DWK, Wong TY et al. Incorporating privileged genetic information for fundus image based glaucoma detection. In Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014 - 17th International Conference, Proceedings. PART 2 ed. Springer Verlag. 2014. p. 204-211. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-319-10470-6_26

Incorporating privileged genetic information for fundus image based glaucoma detection

Abstract

Publication series

Conference

UN SDGs

ASJC Scopus subject areas

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