1. Analysis of A Novel Segmentation Algorithm for Optical Coherence Tomography Images Based on Pixels Intensity Correlations

    Analysis of A Novel Segmentation Algorithm for Optical Coherence Tomography Images Based on Pixels Intensity Correlations

    One of the newest important medical imaging modalities is Optical Coherence Tomography (OCT) providing the possibility of taking pictures from optical scattering tissues such as retina. With the help of accurate verification and analysis of OCT images, it is possible to identify and treat irreversible retinal diseases like glaucoma. Therefore, to suggest novel high-performance segmentation methods is of significant importance. In this paper, a novel algorithm is proposed for the segmentation of OCT B-scans. The proposed method uses the intensity information of pixels to find a distinguishing feature for boundary pixels which are located on the retinal layer boundaries. Also ...

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