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

Wei Huang; Kap Luk Chan; Huiqi Li; Joo Hwee Lim; Jiang Liu; Tien Yin Wong

doi:10.1007/978-3-642-15948-0_3

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

Wei Huang^*, Kap Luk Chan, Huiqi Li, Joo Hwee Lim, Jiang Liu, Tien Yin Wong

^*此作品的通讯作者

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

4 引用（Scopus）

摘要

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.

源语言	英语
主期刊名	Machine Learning in Medical Imaging - First International Workshop, MLMI 2010, Held in Conjunction with MICCAI 2010, Proceedings
页	18-25
页数	8
DOI	https://doi.org/10.1007/978-3-642-15948-0_3
出版状态	已出版 - 2010
已对外发布	是
活动	1st International Workshop on Machine Learning in Medical Imaging, MLMI 2010, Held in Conjunction with MICCAI 2010 - Beijing, 中国期限: 20 9月 2010 → 20 9月 2010

出版系列

姓名	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
卷	6357 LNCS
ISSN（印刷版）	0302-9743
ISSN（电子版）	1611-3349

会议

会议	1st International Workshop on Machine Learning in Medical Imaging, MLMI 2010, Held in Conjunction with MICCAI 2010
国家/地区	中国
市	Beijing
时期	20/09/10 → 20/09/10

访问文件

10.1007/978-3-642-15948-0_3

其它文件与链接

链接到 Scopus 的出版物

引用此

Huang, W., Chan, K. L., Li, H., Lim, J. H., Liu, J., & Wong, T. Y. (2010). Content-based medical image retrieval with metric learning via rank correlation. 在 Machine Learning in Medical Imaging - First International Workshop, MLMI 2010, Held in Conjunction with MICCAI 2010, Proceedings (页码 18-25). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 6357 LNCS). https://doi.org/10.1007/978-3-642-15948-0_3

Huang, Wei ; Chan, Kap Luk ; Li, Huiqi 等. / Content-based medical image retrieval with metric learning via rank correlation. Machine Learning in Medical Imaging - First International Workshop, MLMI 2010, Held in Conjunction with MICCAI 2010, Proceedings. 2010. 页码 18-25 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@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",

}

Huang, W, Chan, KL, Li, H, Lim, JH, Liu, J & Wong, TY 2010, Content-based medical image retrieval with metric learning via rank correlation. 在 Machine Learning in Medical Imaging - First International Workshop, MLMI 2010, Held in Conjunction with MICCAI 2010, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 卷 6357 LNCS, 页码 18-25, 1st International Workshop on Machine Learning in Medical Imaging, MLMI 2010, Held in Conjunction with MICCAI 2010, Beijing, 中国, 20/09/10. https://doi.org/10.1007/978-3-642-15948-0_3

Content-based medical image retrieval with metric learning via rank correlation. / Huang, Wei; Chan, Kap Luk; Li, Huiqi 等.
Machine Learning in Medical Imaging - First International Workshop, MLMI 2010, Held in Conjunction with MICCAI 2010, Proceedings. 2010. 页码 18-25 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 6357 LNCS).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Content-based medical image retrieval with metric learning via rank correlation

AU - Huang, Wei

AU - Chan, Kap Luk

AU - Li, Huiqi

AU - Lim, Joo Hwee

AU - Liu, Jiang

AU - Wong, Tien Yin

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=77958031160&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-15948-0_3

DO - 10.1007/978-3-642-15948-0_3

M3 - Conference contribution

AN - SCOPUS:77958031160

SN - 3642159478

SN - 9783642159473

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 18

EP - 25

BT - Machine Learning in Medical Imaging - First International Workshop, MLMI 2010, Held in Conjunction with MICCAI 2010, Proceedings

T2 - 1st International Workshop on Machine Learning in Medical Imaging, MLMI 2010, Held in Conjunction with MICCAI 2010

Y2 - 20 September 2010 through 20 September 2010

ER -

Huang W, Chan KL, Li H, Lim JH, Liu J, Wong TY. Content-based medical image retrieval with metric learning via rank correlation. 在 Machine Learning in Medical Imaging - First International Workshop, MLMI 2010, Held in Conjunction with MICCAI 2010, Proceedings. 2010. 页码 18-25. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-15948-0_3

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

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