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Image based grading of nuclear cataract by SVM regression

Publication ,  Conference
Huiqi, L; Joo, HL; Jiang, L; Tien, YW; Tan, A; Jie, JW; Mitchell, P
Published in: Progress in Biomedical Optics and Imaging - Proceedings of SPIE
June 2, 2008

Cataract is one of the leading causes of blindness worldwide. A computer-aided approach to assess nuclear cataract automatically and objectively is proposed in this paper. An enhanced Active Shape Model (ASM) is investigated to extract robust lens contour from slit-lamp images. The mean intensity in the lens area, the color information on the central posterior subcapsular reflex, and the profile on the visual axis are selected as the features for grading. A Support Vector Machine (SVM) scheme is proposed to grade nuclear cataract automatically. The proposed approach has been tested using the lens images from Singapore National Eye Centre. The mean error between the automatic grading and grader's decimal grading is 0.38. Statistical analysis shows that 97.8% of the automatic grades are within one grade difference to human grader's integer grades. Experimental results indicate that the proposed automatic grading approach is promising in facilitating nuclear cataract diagnosis.

Duke Scholars

Published In

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

DOI

ISSN

1605-7422

ISBN

9780819470997

Publication Date

June 2, 2008

Volume

6915
 

Citation

APA
Chicago
ICMJE
MLA
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Huiqi, L., Joo, H. L., Jiang, L., Tien, Y. W., Tan, A., Jie, J. W., & Mitchell, P. (2008). Image based grading of nuclear cataract by SVM regression. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE (Vol. 6915). https://doi.org/10.1117/12.769975
Huiqi, L., H. L. Joo, L. Jiang, Y. W. Tien, A. Tan, J. W. Jie, and P. Mitchell. “Image based grading of nuclear cataract by SVM regression.” In Progress in Biomedical Optics and Imaging - Proceedings of SPIE, Vol. 6915, 2008. https://doi.org/10.1117/12.769975.
Huiqi L, Joo HL, Jiang L, Tien YW, Tan A, Jie JW, et al. Image based grading of nuclear cataract by SVM regression. In: Progress in Biomedical Optics and Imaging - Proceedings of SPIE. 2008.
Huiqi, L., et al. “Image based grading of nuclear cataract by SVM regression.” Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 6915, 2008. Scopus, doi:10.1117/12.769975.
Huiqi L, Joo HL, Jiang L, Tien YW, Tan A, Jie JW, Mitchell P. Image based grading of nuclear cataract by SVM regression. Progress in Biomedical Optics and Imaging - Proceedings of SPIE. 2008.

Published In

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

DOI

ISSN

1605-7422

ISBN

9780819470997

Publication Date

June 2, 2008

Volume

6915