Self-FI: Self-Supervised Learning for Disease Diagnosis in Fundus Images

Self-supervised learning has been successful in computer vision, and its application to medical imaging has shown great promise. This study proposes a novel self-supervised learning method for medical image classification, specifically targeting ultra-wide-field fundus images (UFI). The proposed met...

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Detalles Bibliográficos
Autores principales: Nguyen, Toan Duc, Le, Duc-Tai, Bum, Junghyun, Kim, Seongho, Song, Su Jeong, Choo, Hyunseung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10526021/
https://www.ncbi.nlm.nih.gov/pubmed/37760191
http://dx.doi.org/10.3390/bioengineering10091089

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10526021/
https://www.ncbi.nlm.nih.gov/pubmed/37760191
http://dx.doi.org/10.3390/bioengineering10091089

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