Screening Referable Diabetic Retinopathy Using a Semi-automated Deep Learning Algorithm Assisted Approach

Purpose: To assess the accuracy and efficacy of a semi-automated deep learning algorithm (DLA) assisted approach to detect vision-threatening diabetic retinopathy (DR). Methods: We developed a two-step semi-automated DLA-assisted approach to grade fundus photographs for vision-threatening referable...

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Detalles Bibliográficos
Autores principales: Wang, Yueye, Shi, Danli, Tan, Zachary, Niu, Yong, Jiang, Yu, Xiong, Ruilin, Peng, Guankai, He, Mingguang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8656222/
https://www.ncbi.nlm.nih.gov/pubmed/34901058
http://dx.doi.org/10.3389/fmed.2021.740987

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8656222/
https://www.ncbi.nlm.nih.gov/pubmed/34901058
http://dx.doi.org/10.3389/fmed.2021.740987

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