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A 3D Segmentation Method for Retinal Optical Coherence Tomography Volume Data
[article]
2012
arXiv
pre-print
With the introduction of spectral-domain optical coherence tomography (OCT), much larger image datasets are routinely acquired compared to what was possible using the previous generation of time-domain OCT. Thus, the need for 3-D segmentation methods for processing such data is becoming increasingly important. We present a new 3D segmentation method for retinal OCT volume data, which generates an enhanced volume data by using pixel intensity, boundary position information, intensity changes on
arXiv:1204.6385v1
fatcat:h2zz57bwmbdihkkx5hdynpu66u