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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...
Autores principales: | Hung, Kuo-Hsuan, Kao, Yu-Ching, Tang, Yu-Hsuan, Chen, Yi-Ting, Wang, Chuen-Heng, Wang, Yu-Chen, Lee, Oscar Kuang-Sheng |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
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 |
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