Search Results for author:
Found 2 papers, 0 papers with code
Automated segmentation and extraction of posterior eye segment using OCT scans
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.
SIP-SegNet: A Deep Convolutional Encoder-Decoder Network for Joint Semantic Segmentation and Extraction of Sclera, Iris and Pupil based on Periocular Region Suppression
In addition, the ocular traits among various biometric traits are preferably used in these recognition systems.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
