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Translation of Color Fundus Photography into Fluorescein Angiography Using Deep Learning for Enhanced Diabetic Retinopathy Screening
PURPOSE: To develop and validate a deep learning model that can transform color fundus (CF) photography into corresponding venous and late-phase fundus fluorescein angiography (FFA) images. DESIGN: Cross-sectional study. PARTICIPANTS: We included 51 370 CF-venous FFA pairs and 14 644 CF-late FFA pai...
Autores principales: | Shi, Danli, Zhang, Weiyi, He, Shuang, Chen, Yanxian, Song, Fan, Liu, Shunming, Wang, Ruobing, Zheng, Yingfeng, He, Mingguang |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10630672/ https://www.ncbi.nlm.nih.gov/pubmed/38025160 http://dx.doi.org/10.1016/j.xops.2023.100401 |
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