Deep-Learning-Based Hemoglobin Concentration Prediction and Anemia Screening Using Ultra-Wide Field Fundus Images

Background: Anemia is the most common hematological disorder. The purpose of this study was to establish and validate a deep-learning model to predict Hgb concentrations and screen anemia using ultra-wide-field (UWF) fundus images. Methods: The study was conducted at Peking Union Medical College Hos...

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Detalles Bibliográficos
Autores principales: Zhao, Xinyu, Meng, Lihui, Su, Hao, Lv, Bin, Lv, Chuanfeng, Xie, Guotong, Chen, Youxin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Cell and Developmental Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9160874/
https://www.ncbi.nlm.nih.gov/pubmed/35663399
http://dx.doi.org/10.3389/fcell.2022.888268

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9160874/
https://www.ncbi.nlm.nih.gov/pubmed/35663399
http://dx.doi.org/10.3389/fcell.2022.888268

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