title: [Measurement of the irregular retinal lesion area based on the back propagation neural network method].
abstract: In this study, the automatic segmentation of the irregular lesion region in the image of fundus fluorescence angiography was actualized by means of the modified Back Propagation (BP) neural network method. Combining the transfer scaling coefficient between pixel of the image and the actual size, the area of the irregular lesion region was measured. The results may provide valuable data for the clinical diagnosis, treatment and prognostic evaluation.
authors.affiliation: Taishan Medical University, Taian, 271016.
authors.forename: Yongxin
authors.initials: Y
authors.lastname: Guo
authors.forename: Weimin
authors.initials: W
authors.lastname: Bi
authors.forename: Guangyu
authors.initials: G
authors.lastname: Zhang
authors.forename: Chen
authors.initials: C
authors.lastname: Di
authors.forename: Dong
authors.initials: D
authors.lastname: Cui
authors.forename: Lei
authors.initials: L
authors.lastname: Hu
authors.forename: Qing
authors.initials: Q
authors.lastname: Jiao
mesh_terms: D000465:Algorithms; D005451:Fluorescein Angiography / Q000379:methods*; D009415:Nerve Net; D012164:Retinal Diseases / Q000175:diagnosis / Q000473:pathology*