Cargando…
Application of artificial intelligence for automatic cataract staging based on anterior segment images: comparing automatic segmentation approaches to manual segmentation
PURPOSE: Cataract is one of the leading causes of blindness worldwide, accounting for >50% of cases of blindness in low- and middle-income countries. In this study, two artificial intelligence (AI) diagnosis platforms are proposed for cortical cataract staging to achieve a precise diagnosis. METH...
Autores principales: | Gan, Fan, Liu, Hui, Qin, Wei-Guo, Zhou, Shui-Lian |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10159175/ https://www.ncbi.nlm.nih.gov/pubmed/37152605 http://dx.doi.org/10.3389/fnins.2023.1182388 |
Ejemplares similares
-
Comparisons of artificial intelligence algorithms in automatic segmentation for fungal keratitis diagnosis by anterior segment images
por: Li, Dong-Jin, et al.
Publicado: (2023) -
Automatic contour segmentation of cervical cancer using artificial intelligence
por: Kano, Yosuke, et al.
Publicado: (2021) -
Automatic Identification and Segmentation of Orbital Blowout Fractures Based on Artificial Intelligence
por: Bao, Xiao-li, et al.
Publicado: (2023) -
The Validity and Reliability of Automatic Tooth Segmentation Generated Using Artificial Intelligence
por: Al-Ubaydi, Ammar Sh., et al.
Publicado: (2023) -
Application of artificial intelligence models for detecting the pterygium that requires surgical treatment based on anterior segment images
por: Gan, Fan, et al.
Publicado: (2022)