Figure 1.

Examples of automated soft and hard drusen detection. (A) Left eye of a twin with predominantly hard drusen. (B) Circles outline hard drusen candidates that were above a predefined probability threshold, as detected by our shape-based hard drusen detector applied to image (A). (C) Right eye of twin with predominantly soft drusen, as well as some pigmentation centrally. (D) Outlined region indicates a soft drusen-containing area that was over a predefined probability threshold, as detected by our soft drusen texture–based detector applied to (C). The region in (D), although primarily consisting of soft drusen, also includes a small area of pigmentation adjacent to confluent soft drusen that is ignored by the segmentation method.