Application of a deep learning system in glaucoma screening and further classification with colour fundus photographs: a case control study

BACKGROUND: To verify efficacy of automatic screening and classification of glaucoma with deep learning system. METHODS: A cross-sectional, retrospective study in a tertiary referral hospital. Patients with healthy optic disc, high-tension, or normal-tension glaucoma were enrolled. Complicated non-g...

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Detalles Bibliográficos
Autores principales: Hung, Kuo-Hsuan, Kao, Yu-Ching, Tang, Yu-Hsuan, Chen, Yi-Ting, Wang, Chuen-Heng, Wang, Yu-Chen, Lee, Oscar Kuang-Sheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9743575/
https://www.ncbi.nlm.nih.gov/pubmed/36510171
http://dx.doi.org/10.1186/s12886-022-02730-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9743575/
https://www.ncbi.nlm.nih.gov/pubmed/36510171
http://dx.doi.org/10.1186/s12886-022-02730-2

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