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Automatic Detection of Posterior Subcapsular Cataract Opacity for Cataract Screening

机译:对白内障筛查的后亚片性白内障透明度的自动检测

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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% and 80% respectively. The preliminary research indicates it is feasible to apply automatic detection in the clinical screening of PSC in the future.
机译:白内障是失明的主要原因和后亚面容性白内障(PSC)导致显着的视觉损伤。研究了用于检测复古 - 照明图像中PSC不透明度的自动方法。所采用的特征包括强度,边缘,尺寸和空间位置。使用441个图像测试系统。将自动检测与人类专家进行比较。敏感性和特异性分别为82.6%和80%。初步研究表明在未来PSC的临床筛查中应用自动检测是可行的。

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