Diagnostic Performance of Deep Learning Classifiers in Measuring Peripheral Anterior Synechia Based on Swept Source Optical Coherence Tomography Images

PURPOSE: To develop deep learning classifiers and evaluate their diagnostic performance in detecting the static gonioscopic angle closure and peripheral anterior synechia (PAS) based on swept source optical coherence tomography (SS-OCT) images. MATERIALS AND METHODS: Subjects were recruited from the...

Descripción completa

Detalles Bibliográficos
Autores principales: Yang, Yangfan, Wu, Yanyan, Guo, Chong, Han, Ying, Deng, Mingjie, Lin, Haotian, Yu, Minbin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8825342/
https://www.ncbi.nlm.nih.gov/pubmed/35155465
http://dx.doi.org/10.3389/fmed.2021.775711

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8825342/
https://www.ncbi.nlm.nih.gov/pubmed/35155465
http://dx.doi.org/10.3389/fmed.2021.775711

Ejemplares similares