An extensive review on various fundus databases use for development of computer-aided diabetic retinopathy screening tool

Abstract

Present days, the development of computer-aided diagnosis of diabetic retinopathy (DR) is an active research in the field of medical image processing. The true quality performance of medical image understanding classifier depends on tested fundus database by some means. Therefore, a researcher must have the knowledge of all types of database available to facilitate the development of DR screening tool and this paper is intended to provide an idea of various fundus databases. Trends are seen that a number of researchers use different databases to evaluate their code, in that way the purpose to attain universally accepted diabetic retinopathy screening tool will not be achieved at earliest. However, there are no unique databases available to evaluate the program for all types of DR symptoms on fundus image. In this paper, present the detail comparative discussion on various publicly available databases of fundus images, which established to facilitate to do research work for the development of computer-aided diabetic retinopathy screening tool (CAD-DRST). The selection of test database or multiple databases depends on the researcher and the quality of the database; along with test results signify the acceptability level of the proposed algorithms. Besides that, through this paper, we urged to all scientific communities to establish a common database for the finest development of CAD-DRST.