Retinal Image Computing & Understanding

REVIEW is a new retinal vessel reference dataset; consisting four image sets were chosen to assess the accuracy and precision of the vessel width measurement algorithms in the presence of pathology and a central light reflex, and to compare the performance of the proposed algorithms with manual measurements with accuracy up to 0:25 of a pixel. This dataset includes 16 images with 193 vessel segments, demonstrating a variety of pathologies and vessel types. These image sets contain 5066 manually marked profiles.

These are useful in presenting different kinds of challenge, and benchmarking opportunities. Images were assessed by three independent experts, who marked the vessel edges. This dataset is intended to facilitate the development and comparison of vessel measurement algorithms.