Asymmetry between right and left fundus images identified using convolutional neural networks

We analyzed fundus images to identify whether convolutional neural networks (CNNs) can discriminate between right and left fundus images. We gathered 98,038 fundus photographs from the Gyeongsang National University Changwon Hospital, South Korea, and augmented these with the Ocular Disease Intellig...

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Detalles Bibliográficos
Autores principales: Kang, Tae Seen, Kim, Bum Jun, Nam, Ki Yup, Lee, Seongjin, Kim, Kyonghoon, Lee, Woong-sub, Kim, Jinhyun, Han, Yong Seop
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8795182/
https://www.ncbi.nlm.nih.gov/pubmed/35087071
http://dx.doi.org/10.1038/s41598-021-04323-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8795182/
https://www.ncbi.nlm.nih.gov/pubmed/35087071
http://dx.doi.org/10.1038/s41598-021-04323-3

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