Lesion-aware attention network for diabetic nephropathy diagnosis with optical coherence tomography images

PURPOSE: For early screening of diabetic nephropathy patients, we propose a deep learning algorithm to screen high-risk patients with diabetic nephropathy from retinal images of diabetic patients. METHODS: We propose the use of attentional mechanisms to improve the model’s focus on lesion-prone regi...

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Detalles Bibliográficos
Autores principales: Liu, Yuliang, Zhang, Fenghang, Gao, Xizhan, Liu, Tingting, Dong, Jiwen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10641799/
https://www.ncbi.nlm.nih.gov/pubmed/37964881
http://dx.doi.org/10.3389/fmed.2023.1259478

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10641799/
https://www.ncbi.nlm.nih.gov/pubmed/37964881
http://dx.doi.org/10.3389/fmed.2023.1259478

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