Three-Dimensional Multi-Task Deep Learning Model to Detect Glaucomatous Optic Neuropathy and Myopic Features From Optical Coherence Tomography Scans: A Retrospective Multi-Centre Study

PURPOSE: We aim to develop a multi-task three-dimensional (3D) deep learning (DL) model to detect glaucomatous optic neuropathy (GON) and myopic features (MF) simultaneously from spectral-domain optical coherence tomography (SDOCT) volumetric scans. METHODS: Each volumetric scan was labelled as GON...

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Detalles Bibliográficos
Autores principales: Ran, An Ran, Wang, Xi, Chan, Poemen P., Chan, Noel C., Yip, Wilson, Young, Alvin L., Wong, Mandy O. M., Yung, Hon-Wah, Chang, Robert T., Mannil, Suria S., Tham, Yih Chung, Cheng, Ching-Yu, Chen, Hao, Li, Fei, Zhang, Xiulan, Heng, Pheng-Ann, Tham, Clement C., Cheung, Carol Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9240220/
https://www.ncbi.nlm.nih.gov/pubmed/35783623
http://dx.doi.org/10.3389/fmed.2022.860574

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9240220/
https://www.ncbi.nlm.nih.gov/pubmed/35783623
http://dx.doi.org/10.3389/fmed.2022.860574

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