BGIDB: A fundus ground truth building tool with automatic DDLS classification for glaucoma research

Abstract

Taking advantage of the new standard HTML5, we designed an online tool called a browser/server-based glaucoma image database builder (BGIDB) for the demarcation of the optic disk and cup’s ellipse-like boundaries. The B-spline interpolation algorithm is used, and a specially designed algorithm is proposed for classifying the disease grade according to the disc damage likelihood scale criterion, which is correlated strongly with the glaucoma process by quantity. This tool exhibits the best performance with a low overlapping error of 4.34% for the optic disk demarcation and 8.31% for the optic cup demarcation. It also has preferable time-consuming as compared to other tools and is a cross-platform system. This tool has already been utilized in building the ophthalmic image database in the cooperation of Center for Ophthalmic Imaging Research and The Second Xiangya Hospital.

Keywords

glaucoma / image database / B-spline / disc damage likelihood scale (DDLS)

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