A FUNDUS IMAGE QUALITY ASSESSMENT SYSTEM

摘要

A fundus image quality assessment system (1000) is disclosed. The system (1000) comprises a storage unit (107) adapted to store a training fundus image dataset; a generator (101) to generate the training fundus image dataset and a ground-truth file comprising: partitioning each of the training fundus images into a predefined number of elements based on a structure; analyzing the primary element with each of the secondary element sequentially for the partitioned training fundus image; and determining a quality value label of the analyzed training fundus image; a quality assessment means (105) to train a convolutional network based on the generated training fundus image dataset and the ground-truth file; compute the quality value of an input fundus image; and assess the input fundus image based on the computed quality value, a user defined threshold, and/or an image capture device characteristics.