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Found 5 papers, 2 papers with code
A Comprehensive Review of Artificial Intelligence Applications in Major Retinal Conditions
This paper provides a systematic survey of retinal diseases that cause visual impairments or blindness, emphasizing the importance of early detection for effective treatment.
Incremental Cross-Domain Adaptation for Robust Retinopathy Screening via Bayesian Deep Learning
Retinopathy represents a group of retinal diseases that, if not treated timely, can cause severe visual impairments or even blindness.
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.
A Dilated Residual Hierarchically Fashioned Segmentation Framework for Extracting Gleason Tissues and Grading Prostate Cancer from Whole Slide Images
Prostate cancer (PCa) is the second deadliest form of cancer in males, and it can be clinically graded by examining the structural representations of Gleason tissues.
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.
