A Hybrid Model Composed of Two Convolutional Neural Networks (CNNs) for Automatic Retinal Layer Segmentation of OCT Images in Retinitis Pigmentosa (RP)

PURPOSE: We propose and evaluate a hybrid model composed of two convolutional neural networks (CNNs) with different architectures for automatic segmentation of retina layers in spectral domain optical coherence tomography (SD-OCT) B-scans of retinitis pigmentosa (RP). METHODS: The hybrid model consi...

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Detalles Bibliográficos
Autores principales: Wang, Yi-Zhong, Wu, Wenxuan, Birch, David G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8590180/
https://www.ncbi.nlm.nih.gov/pubmed/34751740
http://dx.doi.org/10.1167/tvst.10.13.9

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