Assessing abnormal corneal endothelial cells from in vivo confocal microscopy images using a fully automated deep learning system

BACKGROUND: The goal of this study is to develop a fully automated segmentation and morphometric parameter estimation system for assessing abnormal corneal endothelial cells (CECs) from LASER in vivo confocal microscopy (IVCM) images. METHODS: First, we developed a fully automated deep learning syst...

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Detalles Bibliográficos
Autores principales: Qu, Jinghao, Qin, Xiaoran, Peng, Rongmei, Xiao, Gege, Gu, Shaofeng, Wang, Haikun, Hong, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10233875/
https://www.ncbi.nlm.nih.gov/pubmed/37259153
http://dx.doi.org/10.1186/s40662-023-00340-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10233875/
https://www.ncbi.nlm.nih.gov/pubmed/37259153
http://dx.doi.org/10.1186/s40662-023-00340-7

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