AOSLO-net: A Deep Learning-Based Method for Automatic Segmentation of Retinal Microaneurysms From Adaptive Optics Scanning Laser Ophthalmoscopy Images

• Published in: Translational vision science & technology Vol. 11; no. 8; p. 7
• Main Authors: Zhang, Qian, Sampani, Konstantina, Xu, Mengjia, Cai, Shengze, Deng, Yixiang, Li, He, Sun, Jennifer K., Karniadakis, George Em
• Format: Journal Article
• Language: English
• Published: United States The Association for Research in Vision and Ophthalmology 01.08.2022
• Subjects: Artificial Intelligence; Deep Learning; Diabetic Retinopathy - diagnostic imaging; Humans; Lasers; Microaneurysm - diagnostic imaging; Ophthalmoscopy - methods; Optics and Photonics

Accurate segmentation of microaneurysms (MAs) from adaptive optics scanning laser ophthalmoscopy (AOSLO) images is crucial for identifying MA morphologies and assessing the hemodynamics inside the MAs. Herein, we introduce AOSLO-net to perform automatic MA segmentation from AOSLO images of diabetic...