Automated retinal layers segmentation in SD-OCT images using dual-gradient and spatial correlation smoothness constraint
We develop an automatic method for segmenting retinal layers based on dual-gradient and spatial smoothness constraint. Experimental results demonstrate the effectiveness of our method. Qualitative and quantitative features extracted from images may be clinically useful for analyzing retinal diseases.
spatial correlation smoothness constraint spectral domain optical coherence tomography edge flow gradient compensation automatic segmentation