Deep Learning Segmentation, Visualization, and Automated 3D Assessment of Ciliary Body in 3D Ultrasound Biomicroscopy Images

PURPOSE: This study aimed to develop a fully automated deep learning ciliary body segmentation and assessment approach in three-dimensional ultrasound biomicroscopy (3D-UBM) images. METHODS: Each 3D-UBM eye volume was aligned to the optic axis via multiplanar reformatting. Ciliary muscle and process...

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Detalles Bibliográficos
Autores principales: Minhaz, Ahmed Tahseen, Sevgi, Duriye Damla, Kwak, Sunwoo, Kim, Alvin, Wu, Hao, Helms, Richard W., Bayat, Mahdi, Wilson, David L., Orge, Faruk H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2022
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9547360/
https://www.ncbi.nlm.nih.gov/pubmed/36180029
http://dx.doi.org/10.1167/tvst.11.10.3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9547360/
https://www.ncbi.nlm.nih.gov/pubmed/36180029
http://dx.doi.org/10.1167/tvst.11.10.3

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