Cargando…
Application of artificial intelligence models for detecting the pterygium that requires surgical treatment based on anterior segment images
BACKGROUND AND AIM: A pterygium is a common ocular surface disease, which not only affects facial appearance but can also grow into the tissue layer, causing astigmatism and vision loss. In this study, an artificial intelligence model was developed for detecting the pterygium that requires surgical...
Autores principales: | Gan, Fan, Chen, Wan-Yun, Liu, Hui, Zhong, Yu-Lin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9808075/ https://www.ncbi.nlm.nih.gov/pubmed/36605553 http://dx.doi.org/10.3389/fnins.2022.1084118 |
Ejemplares similares
-
Application of artificial intelligence for automatic cataract staging based on anterior segment images: comparing automatic segmentation approaches to manual segmentation
por: Gan, Fan, et al.
Publicado: (2023) -
Comparisons of artificial intelligence algorithms in automatic segmentation for fungal keratitis diagnosis by anterior segment images
por: Li, Dong-Jin, et al.
Publicado: (2023) -
Research on an Intelligent Lightweight-Assisted Pterygium Diagnosis Model Based on Anterior Segment Images
por: Zheng, Bo, et al.
Publicado: (2021) -
Artificial Intelligence Segmented Dynamic Video Images for Continuity Analysis in the Detection of Severe Cardiovascular Disease
por: Zhu, Xi, et al.
Publicado: (2021) -
Artificial intelligence method based on multi-feature fusion for automatic macular edema (ME) classification on spectral-domain optical coherence tomography (SD-OCT) images
por: Gan, Fan, et al.
Publicado: (2023)