  This paper proposes an automated method for the segmentation and extraction
of the posterior segment of the human eye, including the vitreous, retina,
choroid, and sclera compartments, using multi-vendor optical coherence
tomography (OCT) scans. The proposed method works in two phases. First extracts
the retinal pigment epithelium (RPE) layer by applying the adaptive
thresholding technique to identify the retina-choroid junction. Then, it
exploits the structure tensor guided approach to extract the inner limiting
membrane (ILM) and the choroidal stroma (CS) layers, locating the
vitreous-retina and choroid-sclera junctions in the candidate OCT scan.
Furthermore, these three junction boundaries are utilized to conduct posterior
eye compartmentalization effectively for both healthy and disease eye OCT
scans. The proposed framework is evaluated over 1000 OCT scans, where it
obtained the mean intersection over union (IoU) and mean Dice similarity
coefficient (DSC) scores of 0.874 and 0.930, respectively.
