Chong He

TL;DR: Based on the self-attention mechanism, a hybrid convolutional neural network (CNN) and transformer model to encode both local and global features was developed to automatically detect IR and SS in AS-OCT images as discussed by the authors .

TL;DR: In this paper , a multitask deep learning method was proposed for simultaneous segmentation and quantification of all major anterior segment structures, including the iris, lens, cornea, as well as implantable collamer lens (ICL) and intraocular lens (IOL), and meanwhile for landmark detection of scleral spur and iris root in anterior segment OCT images.

TL;DR: This study investigates the association between glaucoma and serum albumin, lymphocyte percentage, and their combined index (LAP) as potential biomarkers for systemic inflammation and disease progression, finding LAP to be a supportive biomarker for glaucoma severity evaluation.

TL;DR: It might be useful to use NAR, NTBR, and NIBR as predictive markers for disease severity and employ ALB/BIL as alternative therapy or adjuvant medicines in glaucoma patients.