Deep Learning-Based System for Disease Screening and Pathologic Region Detection From Optical Coherence Tomography Images

PURPOSE: This study was designed to apply deep learning models in retinal disease screening and lesion detection based on optical coherence tomography (OCT) images. METHODS: We collected 37,138 OCT images from 775 patients and labelled by ophthalmologists. Multiple deep learning models including Res...

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Detalles Bibliográficos
Autores principales: Chen, Xiaoming, Xue, Ying, Wu, Xiaoyan, Zhong, Yi, Rao, Huiying, Luo, Heng, Weng, Zuquan
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/PMC9896901/
https://www.ncbi.nlm.nih.gov/pubmed/36716039
http://dx.doi.org/10.1167/tvst.12.1.29

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9896901/
https://www.ncbi.nlm.nih.gov/pubmed/36716039
http://dx.doi.org/10.1167/tvst.12.1.29

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