Cargando…
Automatic Segmentation of Corneal Microlayers on Optical Coherence Tomography Images
PURPOSE: To propose automatic segmentation algorithm (AUS) for corneal microlayers on optical coherence tomography (OCT) images. METHODS: Eighty-two corneal OCT scans were obtained from 45 patients with normal and abnormal corneas. Three testing data sets totaling 75 OCT images were randomly selecte...
Autores principales: | Elsawy, Amr, Abdel-Mottaleb, Mohamed, Sayed, Ibrahim-Osama, Wen, Dan, Roongpoovapatr, Vatookarn, Eleiwa, Taher, Sayed, Ahmed M., Raheem, Mariam, Gameiro, Gustavo, Shousha, Mohamed Abou |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Association for Research in Vision and Ophthalmology
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6561132/ https://www.ncbi.nlm.nih.gov/pubmed/31211004 http://dx.doi.org/10.1167/tvst.8.3.39 |
Ejemplares similares
-
Evaluation of endothelial/Descemet membrane complex of eye bank donor corneas using enhanced depth imaging optical coherence tomography
por: Syed, Zeba A, et al.
Publicado: (2019) -
Pathological-Corneas Layer Segmentation and Thickness Measurement in OCT Images
por: Elsawy, Amr, et al.
Publicado: (2020) -
Automated diagnosis and staging of Fuchs’ endothelial cell corneal dystrophy using deep learning
por: Eleiwa, Taher, et al.
Publicado: (2020) -
Prediction of corneal graft rejection using central endothelium/Descemet’s membrane complex thickness in high-risk corneal transplants
por: Eleiwa, Taher, et al.
Publicado: (2021) -
Comparison of Autonomous AS-OCT Deep Learning Algorithm and Clinical Dry Eye Tests in Diagnosis of Dry Eye Disease
por: Chase, Collin, et al.
Publicado: (2021)