An interpretable and interactive deep learning algorithm for a clinically applicable retinal fundus diagnosis system by modelling finding-disease relationship

The identification of abnormal findings manifested in retinal fundus images and diagnosis of ophthalmic diseases are essential to the management of potentially vision-threatening eye conditions. Recently, deep learning-based computer-aided diagnosis systems (CADs) have demonstrated their potential t...

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Detalles Bibliográficos
Autores principales: Son, Jaemin, Shin, Joo Young, Kong, Seo Taek, Park, Jeonghyuk, Kwon, Gitaek, Kim, Hoon Dong, Park, Kyu Hyung, Jung, Kyu-Hwan, Park, Sang Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10097752/
https://www.ncbi.nlm.nih.gov/pubmed/37045856
http://dx.doi.org/10.1038/s41598-023-32518-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10097752/
https://www.ncbi.nlm.nih.gov/pubmed/37045856
http://dx.doi.org/10.1038/s41598-023-32518-3

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