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...

Descripción completa

Detalles Bibliográficos
Autores principales: Shi, Danli, Zhang, Weiyi, He, Shuang, Chen, Yanxian, Song, Fan, Liu, Shunming, Wang, Ruobing, Zheng, Yingfeng, He, Mingguang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Original Article
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

Internet

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

Ejemplares similares