Computer aided diagnosis of nuclear cataract

Huiqi Li*, Hwee Lim Joo, Jiang Liu, Damon Wing Kee Wong, T. Y. 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

An approach to automatically diagnose nuclear cataract based on the slit-lamp image is proposed in this paper. Model-based approach is investigated to detect robust lens structure. Based on the detected lens structure, the mean intensity, the color information on the posterior subcapsular reflex and visual axis profile are extracted as the grading features. Support Vector Machine (SVM) regression model is further trained to predict the grades of nuclear cataract automatically. The proposed approach was tested using 900 images and the mean grading error is 0.36. The encouraging results show that it is promising to apply the proposed approach to clinical diagnosis.

源语言英语
主期刊名2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008
1841-1844
页数4
DOI
出版状态已出版 - 2008
已对外发布
活动2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008 - Singapore, 新加坡
期限: 3 6月 20085 6月 2008

出版系列

姓名2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008

会议

会议2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008
国家/地区新加坡
Singapore
时期3/06/085/06/08

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