A Review on Automatic Analysis Techniques for Color Fundus Photographs

We present several state-of-the-art procedures to extract the anatomic components and lesions in color fundus photographs and decision support methods to help clinical diagnosis. We list publicly available databases and appropriate measurement techniques to compare quantitatively the performance of these approaches. Furthermore, we discuss on how the performance of image processing-based systems can be improved by fusing the output of individual detector algorithms. Retinal image analysis using mobile phones is also addressed as an expected future trend in this field.

Source: Computational and Structural Biotechnology Journal - October 9, 2016 Category: Biotechnology Source Type: research