A Hybrid System for Automatic Identification of Corneal Layers on In Vivo Confocal Microscopy Images

PURPOSE: Accurate identification of corneal layers with in vivo confocal microscopy (IVCM) is essential for the correct assessment of corneal lesions. This project aims to obtain a reliable automated identification of corneal layers from IVCM images. METHODS: A total of 7957 IVCM images were include...

Descripción completa

Detalles Bibliográficos
Autores principales: Tang, Ningning, Huang, Guangyi, Lei, Daizai, Jiang, Li, Chen, Qi, He, Wenjing, Tang, Fen, Hong, Yiyi, Lv, Jian, Qin, Yuanjun, Lin, Yunru, Lan, Qianqian, Qin, Yikun, Lan, Rushi, Pan, Xipeng, Li, Min, Xu, Fan, Lu, Peng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2023
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10108728/
https://www.ncbi.nlm.nih.gov/pubmed/37026984
http://dx.doi.org/10.1167/tvst.12.4.8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10108728/
https://www.ncbi.nlm.nih.gov/pubmed/37026984
http://dx.doi.org/10.1167/tvst.12.4.8

Ejemplares similares