A computer-aided diagnosis system of nuclear cataract via ranking

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

doi:10.1007/978-3-642-04271-3_97

A computer-aided diagnosis system of nuclear cataract via ranking

Wei Huang^*, Huiqi Li, Kap Luk Chan, 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

19 引用（Scopus）

摘要

A novel computer-aided diagnosis system of nuclear cataract via ranking is firstly proposed in this paper. The grade of nuclear cataract in a slit-lamp image is predicted based on its neighboring labeled images in a ranked images list, which is achieved using an optimal ranking function. A new ranking evaluation measure is proposed for learning the optimal ranking function via direct optimization. Our system has been tested by a large dataset composed of 1000 slit-lamp images from 1000 different cases. Both experimental results and comparison with several state-of-the-art methods indicate the superiority of our system.

源语言	英语
主期刊名	Medical Image Computing and Computer-Assisted Intervention - MICCAI2009 - 12th International Conference, Proceedings
页	803-810
页数	8
版本	PART 2
DOI	https://doi.org/10.1007/978-3-642-04271-3_97
出版状态	已出版 - 2009
已对外发布	是
活动	12th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2009 - London, 英国期限: 20 9月 2009 → 24 9月 2009

出版系列

姓名	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
编号	PART 2
卷	5762 LNCS
ISSN（印刷版）	0302-9743
ISSN（电子版）	1611-3349

会议

会议	12th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2009
国家/地区	英国
市	London
时期	20/09/09 → 24/09/09

访问文件

10.1007/978-3-642-04271-3_97

其它文件与链接

链接到 Scopus 的出版物

引用此

Huang, W., Li, H., Chan, K. L., Lim, J. H., Liu, J., & Wong, T. Y. (2009). A computer-aided diagnosis system of nuclear cataract via ranking. 在 Medical Image Computing and Computer-Assisted Intervention - MICCAI2009 - 12th International Conference, Proceedings (PART 2 编辑, 页码 803-810). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 5762 LNCS, 号码 PART 2). https://doi.org/10.1007/978-3-642-04271-3_97

Huang, Wei ; Li, Huiqi ; Chan, Kap Luk 等. / A computer-aided diagnosis system of nuclear cataract via ranking. Medical Image Computing and Computer-Assisted Intervention - MICCAI2009 - 12th International Conference, Proceedings. PART 2. 编辑 2009. 页码 803-810 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

@inproceedings{459b32438ab44ad9afdcd7410e72f312,

title = "A computer-aided diagnosis system of nuclear cataract via ranking",

abstract = "A novel computer-aided diagnosis system of nuclear cataract via ranking is firstly proposed in this paper. The grade of nuclear cataract in a slit-lamp image is predicted based on its neighboring labeled images in a ranked images list, which is achieved using an optimal ranking function. A new ranking evaluation measure is proposed for learning the optimal ranking function via direct optimization. Our system has been tested by a large dataset composed of 1000 slit-lamp images from 1000 different cases. Both experimental results and comparison with several state-of-the-art methods indicate the superiority of our system.",

author = "Wei Huang and Huiqi Li and Chan, {Kap Luk} and Lim, {Joo Hwee} and Jiang Liu and Wong, {Tien Yin}",

year = "2009",

doi = "10.1007/978-3-642-04271-3_97",

language = "English",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

number = "PART 2",

pages = "803--810",

booktitle = "Medical Image Computing and Computer-Assisted Intervention - MICCAI2009 - 12th International Conference, Proceedings",

edition = "PART 2",

note = "12th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2009 ; Conference date: 20-09-2009 Through 24-09-2009",

}

Huang, W, Li, H, Chan, KL, Lim, JH, Liu, J & Wong, TY 2009, A computer-aided diagnosis system of nuclear cataract via ranking. 在 Medical Image Computing and Computer-Assisted Intervention - MICCAI2009 - 12th International Conference, Proceedings. PART 2 编辑, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 号码 PART 2, 卷 5762 LNCS, 页码 803-810, 12th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2009, London, 英国, 20/09/09. https://doi.org/10.1007/978-3-642-04271-3_97

A computer-aided diagnosis system of nuclear cataract via ranking. / Huang, Wei; Li, Huiqi; Chan, Kap Luk 等.
Medical Image Computing and Computer-Assisted Intervention - MICCAI2009 - 12th International Conference, Proceedings. PART 2. 编辑 2009. 页码 803-810 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 5762 LNCS, 号码 PART 2).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

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AU - Li, Huiqi

AU - Chan, Kap Luk

AU - Lim, Joo Hwee

AU - Liu, Jiang

AU - Wong, Tien Yin

PY - 2009

Y1 - 2009

N2 - A novel computer-aided diagnosis system of nuclear cataract via ranking is firstly proposed in this paper. The grade of nuclear cataract in a slit-lamp image is predicted based on its neighboring labeled images in a ranked images list, which is achieved using an optimal ranking function. A new ranking evaluation measure is proposed for learning the optimal ranking function via direct optimization. Our system has been tested by a large dataset composed of 1000 slit-lamp images from 1000 different cases. Both experimental results and comparison with several state-of-the-art methods indicate the superiority of our system.

AB - A novel computer-aided diagnosis system of nuclear cataract via ranking is firstly proposed in this paper. The grade of nuclear cataract in a slit-lamp image is predicted based on its neighboring labeled images in a ranked images list, which is achieved using an optimal ranking function. A new ranking evaluation measure is proposed for learning the optimal ranking function via direct optimization. Our system has been tested by a large dataset composed of 1000 slit-lamp images from 1000 different cases. Both experimental results and comparison with several state-of-the-art methods indicate the superiority of our system.

UR - http://www.scopus.com/inward/record.url?scp=77952266603&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-04271-3_97

DO - 10.1007/978-3-642-04271-3_97

M3 - Conference contribution

C2 - 20426185

AN - SCOPUS:77952266603

SN - 3642042708

SN - 9783642042706

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

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BT - Medical Image Computing and Computer-Assisted Intervention - MICCAI2009 - 12th International Conference, Proceedings

T2 - 12th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2009

Y2 - 20 September 2009 through 24 September 2009

ER -

Huang W, Li H, Chan KL, Lim JH, Liu J, Wong TY. A computer-aided diagnosis system of nuclear cataract via ranking. 在 Medical Image Computing and Computer-Assisted Intervention - MICCAI2009 - 12th International Conference, Proceedings. PART 2 编辑 2009. 页码 803-810. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-642-04271-3_97

A computer-aided diagnosis system of nuclear cataract via ranking

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