This Series on “The State-of-Art Deep Learning Technology in Ophthalmology” is edited by Dr. Daniel Ting, from Singapore Eye Research Institute, National University of Singapore, Singapore and Dr. Haotian Lin, State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangzhou, China.
Review Article on The State-of-Art Deep Learning Technology in Ophthalmology
Artificial intelligence, machine learning and deep learning for eye care specialists
Electrical stimulation scheme optimization for retinal prosthesis: considerations from biological perspective
Telemedicine diabetic retinopathy screening: rationale and practical considerations in mobile imaging with ultra-widefield photography
A narrative review of glaucoma screening from fundus images
Disclosure:
The series “The State-of-Art Deep Learning Technology in Ophthalmology” was commissioned by the editorial office, Annals of Eye Science without any sponsorship or funding. Daniel Ting and Haotian Lin served as the unpaid Guest Editors for the series.