Xiaohong Chen

Quantitative Assessment of Fundus Tessellated Density in Highly Myopic Glaucoma Using Deep Learning.

FTD differs in degree and distribution between HMG and HM. A higher macular NT alone or with a lower horizontal parapapillary atrophy/disc ratio may help differentiate HMG.

Detecting Glaucoma in Highly Myopic Eyes From Fundus Photographs Using Deep Convolutional Neural Networks.

Our proposed model demonstrates high efficacy and suggests specific features for distinguishing eyes with HMG, enabling potential clinical value in assisting the intricate diagnosis of this vision-threatening disease.

Association Between Body Composition and Risk of Primary Open-Angle Glaucoma.

POAG risk differs according to body composition. Maintaining a healthy body composition pattern may mitigate its risk.