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

PURPOSE: 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...

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Detalles Bibliográficos
Autores principales: Zhang, Qian, Sampani, Konstantina, Xu, Mengjia, Cai, Shengze, Deng, Yixiang, Li, He, Sun, Jennifer K., Karniadakis, George Em
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2022
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9366726/
https://www.ncbi.nlm.nih.gov/pubmed/35938881
http://dx.doi.org/10.1167/tvst.11.8.7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9366726/
https://www.ncbi.nlm.nih.gov/pubmed/35938881
http://dx.doi.org/10.1167/tvst.11.8.7

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