Automatic Multilabel Classification of Multiple Fundus Diseases Based on Convolutional Neural Network With Squeeze-and-Excitation Attention

PURPOSE: Automatic multilabel classification of multiple fundus diseases is of importance for ophthalmologists. This study aims to design an effective multilabel classification model that can automatically classify multiple fundus diseases based on color fundus images. METHODS: We proposed a multila...

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Detalles Bibliográficos
Autores principales: Lu, Zhenzhen, Miao, Jingpeng, Dong, Jingran, Zhu, Shuyuan, Wu, Penghan, Wang, Xiaobing, Feng, Jihong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2023
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9872849/
https://www.ncbi.nlm.nih.gov/pubmed/36662513
http://dx.doi.org/10.1167/tvst.12.1.22

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9872849/
https://www.ncbi.nlm.nih.gov/pubmed/36662513
http://dx.doi.org/10.1167/tvst.12.1.22

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