Joint segmentation and quantification of chorioretinal biomarkers in optical coherence tomography scans: A deep learning approach
In ophthalmology, chorioretinal biomarkers (CRBMs) play a significant role in detecting,
quantifying, and ameliorating the treatment of chronic eye conditions. Optical coherence …
quantifying, and ameliorating the treatment of chronic eye conditions. Optical coherence …
[HTML][HTML] A comprehensive study capturing vision loss burden in Pakistan (1990-2025): Findings from the Global Burden of Disease (GBD) 2017 study
This study aims to provide estimates, trends and projections of vision loss burden in
Pakistan from 1990 to 2025. Global Burden of Diseases, Injuries, and Risk Factors Study …
Pakistan from 1990 to 2025. Global Burden of Diseases, Injuries, and Risk Factors Study …
An imperceptible medical image watermarking framework for automated diagnosis of retinal pathologies in an eHealth arrangement
The newly driven concept of electronic health (eHealth) has made distance irrelevant in
healthcare. eHealth, which is commonly known as an electronic form of healthcare, refers …
healthcare. eHealth, which is commonly known as an electronic form of healthcare, refers …
Automated retinal edema detection from fundus and optical coherence tomography scans
Retinal edema is a retinal condition prominently found in diabetes patients, which is caused
due to unusual deposit of cystoid fluid in the surrounding macula region. The risk of central …
due to unusual deposit of cystoid fluid in the surrounding macula region. The risk of central …
Deep residual learning-based cognitive model for detection and classification of transmitted signal patterns in 5G smart city networks
Primary user (PU) signal detection or classification is a critical component of cognitive radio
(CR) related wireless communication applications. In CR, the PU detection methods are …
(CR) related wireless communication applications. In CR, the PU detection methods are …
Fully automated detection, grading and 3D modeling of maculopathy from OCT volumes
Maculopathy is one of the prime causes of blindness and it is effectively diagnosed through
optical coherence tomography (OCT) images. The two major forms of maculopathy are …
optical coherence tomography (OCT) images. The two major forms of maculopathy are …
SEADNet: Deep learning driven segmentation and extraction of macular fluids in 3D retinal OCT scans
In ophthalmology, symptomatic exudate-associated derangement (SEAD) lesions play an
important role in the timely intervention and treatment of maculopathy. Optical coherence …
important role in the timely intervention and treatment of maculopathy. Optical coherence …
Weakly supervised detection of central serous chorioretinopathy based on local binary patterns and discrete wavelet transform
J Xu, W Yang, C Wan, J Shen - Computers in Biology and Medicine, 2020 - Elsevier
Central serous chorioretinopathy (CSCR) is a common fundus disease. Early detection of
CSCR is of great importance to prevent visual loss. Therefore, a novel automatic detection …
CSCR is of great importance to prevent visual loss. Therefore, a novel automatic detection …
[HTML][HTML] Diagnosis of central serous chorioretinopathy by deep learning analysis of en face images of choroidal vasculature: A pilot study
Y Aoyama, I Maruko, T Kawano, T Yokoyama… - PLoS …, 2021 - journals.plos.org
Purpose To diagnose central serous chorioretinopathy (CSC) by deep learning (DL)
analyses of en face images of the choroidal vasculature obtained by optical coherence …
analyses of en face images of the choroidal vasculature obtained by optical coherence …
Automated foveal detection in OCT scans
Fovea is a minor area about 1.5 millimeter in diameter located at the center of human retina.
It is responsible for permitting 100% visual acuity and is also an important biomarker for …
It is responsible for permitting 100% visual acuity and is also an important biomarker for …