Management of Glaucoma-Related Dry Eye Disease with Intense Pulsed Light: A Randomized Control Study

H Zhang, Y Qi, J Chen, G Qin, L Xu, W He… - Clinical …, 2024 - Taylor & Francis
… IPL treatment, on the other hand, can make a big difference in both objective and subjective
… this problem. A self-control study found improvements in DE symptoms in glaucoma patients …

A ophthalmology study on eye glaucoma and retina applied in AI and deep learning techniques

S Vaishnavi, R Deepa - Journal of Physics: Conference Series, 2021 - iopscience.iop.org
… Dry eye syndrome – This is frequent problem that occurs when tears are not able to produce
sufficient lubrication in the eyes. Tears are not sufficient for wavering reasons. Dry eyes …

[PDF][PDF] Automatic optic disc/cup segmentation and glaucoma classification and fovea localization

X Bian, Y Huang, X Li, X Niu… - Refuge …, 2020 - rumc-gcorg-p-public.s3.amazonaws …
… , Sun Yat-sen University, China. The reference standard for the … To cope with the big difference
between training data and … detection network for the problem of fovea detection in fundus …

Advancements in Glaucoma Diagnosis: The Role of AI in Medical Imaging

CP Bragança, JM Torres, LO Macedo, CPA Soares - Diagnostics, 2024 - mdpi.com
Glaucoma is considered a global problem; even in … at least 50% of patients with glaucoma
do not know of their condition. … of glaucoma: open-angle glaucoma, angle-closure glaucoma

Refractive errors: public health challenges and interventions

C Lanca, CP Pang, A Grzybowski - Frontiers in Public Health, 2023 - frontiersin.org
… The largest burden of refractive error is myopia which significantly increases the risk of
blinding conditions such as myopic macular degeneration, glaucoma, and cataract. Previous …

Glaucoma detection and classification using improved U-Net Deep Learning Model

R Kashyap, R Nair, SMP Gangadharan, M Botto-Tobar… - Healthcare, 2022 - mdpi.com
… Researchers seek to identify and anticipate glaucoma using deep learning … problem. The
proposed deep learning model for glaucoma image processing makes use of the glaucoma

[HTML][HTML] A review of deep learning for screening, diagnosis, and detection of glaucoma progression

AC Thompson, AA Jammal… - … vision science & …, 2020 - iovs.arvojournals.org
… In contrast to diabetic retinopathy, the approach of training deep learning models to replicate
human gradings of fundus photographs for glaucoma raises numerous potential problems. …

Glaucoma Diagnosis and Prediction Based on Multi-Scale Feature Coding

X Wang, Y Wang, C Wang, Y Lin, X He… - … Conference on Image …, 2023 - ieeexplore.ieee.org
… AI, the Internet of Things (IoT), e-health, telemedicine, and big data … are scarce, and even
there are problems such as lack … Over 21.8 million people in China suffer from glaucoma, …

[PDF][PDF] Enhanced Detection of Glaucoma on Ensemble Convolutional Neural Network for Clinical Informatics.

DS David, S Selvi, S Sivaprakash, PV Raja… - … , Materials & Continua, 2022 - academia.edu
… in glaucoma detection, the exactly affected site of the optic disc of whether small or big size
cup, … The critical problems inside the retinal imageries are supposed to be complicated blood …

… safety of anti-vascular endothelial growth factor combined with Ahmed glaucoma valve implantation in the treatment of neovascular glaucoma: a systematic review …

CZ He, SJ Lu, ZJ Zeng, JQ Liu, Q Qiu, FL Xue… - Frontiers in …, 2024 - frontiersin.org
… number of patients with secondary glaucoma in China increased from 340,000 (… China
revealed that patients with NVG constituted approximately 5.8% of all glaucoma patients in China