A Review of Segmentation and Classification for Retinal Optical Coherence Tomography Images

Abstract

Optical coherence tomography (OCT) is one of the important auxiliary tools for ophthalmologists to screen and diagnose human retinal diseases. In this paper, from three aspects: the segmentation method of retinal OCT image macular edema, the segmentation method of retinal layer and the classification method of retinal macular degeneration. Firstly, the current representative research methods are classified, and then summarized and discussed. Finally, the current problems in OCT medical image processing are briefly summarized and prospected.