Automated Microaneurysm Detection in Fundus Images by Region Growing

Abstract

In this study, we propose an approach to automatically partition a fundus image into regions and evaluate whether a region contains microaneurysm (MA). The approach can achieve sensitivity 81%, specificity 95.4%, and accuracy 91.8%, on a public dataset DIARETDB.