1. An unsupervised hierarchical approach for automatic intra‐retinal cyst segmentation in spectral‐domain optical coherence tomography images

    An unsupervised hierarchical approach for automatic intra‐retinal cyst segmentation in spectral‐domain optical coherence tomography images

    Purpose Intra‐retinal cyst (IRC) is a symptom of macular disorders that occurs due to the retinal blood vessel damage and fluid leakage to the macula area. These abnormalities are efficiently visualized using Optical Coherence Tomography (OCT) imaging. And, these patients need to be regularly monitored for the presence and changes of IRC regions. Thus, the automatic segmentation of IRCs can be beneficial to investigate disease progression. Methods In this study, automatic IRC segmentation is accomplished by building three different masks in three unsupervised segmentation levels of a hierarchical framework. So that in the first level, the ROI‐mask (R ...

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