title: Automatic detection of posterior subcapsular cataract opacity for cataract screening.
abstract: 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.
authors.affiliation: Institute for Infocomm Research, A*STAR, 1 Fusionopolis Way, #21-01 Connexis, Singapore 138632. huiqili@i2r.a-star.edu.sg
authors.forename: Huiqi
authors.initials: H
authors.lastname: Li
authors.forename: Joo Hwee
authors.initials: JH
authors.lastname: Lim
authors.forename: Jiang
authors.initials: J
authors.lastname: Liu
authors.forename: Damon Wing Kee
authors.initials: DW
authors.lastname: Wong
authors.forename: Yongfeng
authors.initials: Y
authors.lastname: Foo
authors.forename: Ying
authors.initials: Y
authors.lastname: Sun
authors.forename: Tien Yin
authors.initials: TY
authors.lastname: Wong
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D000465:Algorithms; D001331:Automation / Q000379:methods*; D058442:Capsule Opacification / Q000175:diagnosis* / Q000473:pathology*; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D007903:Lens Capsule, Crystalline / Q000473:pathology*; D008029:Lighting; D008875:Middle Aged; D011680:Pupil