An Open-Source Deep Learning Algorithm for Efficient and Fully Automatic Analysis of the Choroid in Optical Coherence Tomography

PURPOSE: To develop an open-source, fully automatic deep learning algorithm, DeepGPET, for choroid region segmentation in optical coherence tomography (OCT) data. METHODS: We used a dataset of 715 OCT B-scans (82 subjects, 115 eyes) from three clinical studies related to systemic disease. Ground-tru...

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Detalles Bibliográficos
Autores principales: Burke, Jamie, Engelmann, Justin, Hamid, Charlene, Reid-Schachter, Megan, Pearson, Tom, Pugh, Dan, Dhaun, Neeraj, Storkey, Amos, King, Stuart, MacGillivray, Tom J., Bernabeu, Miguel O., MacCormick, Ian J. C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2023
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10668622/
https://www.ncbi.nlm.nih.gov/pubmed/37988073
http://dx.doi.org/10.1167/tvst.12.11.27

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10668622/
https://www.ncbi.nlm.nih.gov/pubmed/37988073
http://dx.doi.org/10.1167/tvst.12.11.27

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