An Image Based Classification Method for Cataract

被引：8

作者：

Shen, Hualei ^{[1
]}

Hao, Hongwei ^{[1
]}

Wei, Lihong ^{[1
]}

Wang, Zhibin ^{[1
]}

机构：

[1] Univ Sci & Technol Beijing, Sch Informat Engn, Beijing 100083, Peoples R China

来源：

ISCSCT 2008: INTERNATIONAL SYMPOSIUM ON COMPUTER SCIENCE AND COMPUTATIONAL TECHNOLOGY, VOL 1, PROCEEDINGS | 2008年

关键词：

cataract; feature extraction; K-nearest neighbor classifier; classification;

D O I：

10.1109/ISCSCT.2008.78

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Currently, surgery is the most effective and common way to treat cataract, one of the leading causes for blindness worldwide. Of all surgical methods, phacoemulsifieation is the most popular. During the operation, surgeons have to evaluate the hardness degree of the cataractous lens by themselves. To make the evaluation intelligent, a machine-aided classification method for cataractous lens is proposed in this paper. Based on the microscope images of cataractous lens, color information of cataractous lens with different hardness degrees is investigated. K-nearest neighbor classifiers are used to classify different hardness degrees of cataractous lens. The proposed method has been tested using real microscope images of phacoemulsifieation. Recognition rate of 92.5% has been achieved.

引用

页码：583 / 586

页数：4

共 10 条

[1]

BIAN ZQ, 2000, PATTERN RECOGN, P183

[2] A blocking strategy to improve gene selection for classification of gene expression data [J].

Bontempi, Gianluca .

IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2007, 4 (02) :293-300

[3]

DUDA RO, 2001, PATTERN RECOGN, P172

[4] Unsupervised feature selection applied to content-based retrieval of lung images [J].

Dy, JG ;

Brodley, CE ;

Kak, A ;

Broderick, LS ;

Aisen, AM .

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2003, 25 (03) :373-378

[5] Protein secondary structure prediction using distance based classifiers [J].

Ghosh, Ashish ;

Parai, Bijnan .

INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2008, 47 (01) :37-44

[6]

LI HQ, 2008, P INT SOC OPT ENG SP

[7]

Liu DQ, 2004, 2004 IEEE COMPUTATIONAL SYSTEMS BIOINFORMATICS CONFERENCE, PROCEEDINGS, P558

[8]

Madabhushi A, 2006, LECT NOTES COMPUT SC, V4241, P25

[9]

SADOOGHI A, 2008, P 2 INT C BIOINF BIO, P1880, DOI DOI 10.1109/ICBBE.2008.799

[10]

THEODORIDIS S, 1999, PATTERN RECOGN, P131

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