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Cataract is the leading cause of blindness and posterior subcapsular cataract (PSC) leads to significant visual impairment. An automatic approach for detecting PSC opacity in retro-illumination images is investigated. The features employed include intensity, edge, size and spatial location. The system was tested using 441 images. The automatic detection was compared with the human expert. The sensitivity and specificity are 82.6

作者:Huiqi, Li;Joo Hwee, Lim;Jiang, Liu;Damon Wing Kee, Wong;Yongfeng, Foo;Ying, Sun;Tien Yin, Wong

来源:Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference 2010 年 2010卷

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作者:
Huiqi, Li;Joo Hwee, Lim;Jiang, Liu;Damon Wing Kee, Wong;Yongfeng, Foo;Ying, Sun;Tien Yin, Wong
来源:
Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference 2010 年 2010卷
Cataract is the leading cause of blindness and posterior subcapsular cataract (PSC) leads to significant visual impairment. An automatic approach for detecting PSC opacity in retro-illumination images is investigated. The features employed include intensity, edge, size and spatial location. The system was tested using 441 images. The automatic detection was compared with the human expert. The sensitivity and specificity are 82.6