A Weakly Supervised Deep Learning Approach for Leakage Detection in Fluorescein Angiography Images

PURPOSE: The purpose of this study was to design an automated algorithm that can detect fluorescence leakage accurately and quickly without the use of a large amount of labeled data. METHODS: A weakly supervised learning-based method was proposed to detect fluorescein leakage without the need for ma...

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Detalles Bibliográficos
Autores principales: Li, Wanyue, Fang, Wangyi, Wang, Jing, He, Yi, Deng, Guohua, Ye, Hong, Hou, Zujun, Chen, Yiwei, Jiang, Chunhui, Shi, Guohua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8934548/
https://www.ncbi.nlm.nih.gov/pubmed/35262648
http://dx.doi.org/10.1167/tvst.11.3.9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8934548/
https://www.ncbi.nlm.nih.gov/pubmed/35262648
http://dx.doi.org/10.1167/tvst.11.3.9

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