Can Glaucoma Suspect Data Help to Improve the Performance of Glaucoma Diagnosis?

PURPOSE: The presence of imbalanced datasets in medical applications can negatively affect deep learning methods. This study aims to investigate how the performance of convolutional neural networks (CNNs) for glaucoma diagnosis can be improved by addressing imbalanced learning issues through utilizi...

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Detalles Bibliográficos
Autores principales: Abbasi, Ashkan, Antony, Bhavna Josephine, Gowrisankaran, Sowjanya, Wollstein, Gadi, Schuman, Joel S., Ishikawa, Hiroshi
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/PMC10424152/
https://www.ncbi.nlm.nih.gov/pubmed/37555737
http://dx.doi.org/10.1167/tvst.12.8.6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10424152/
https://www.ncbi.nlm.nih.gov/pubmed/37555737
http://dx.doi.org/10.1167/tvst.12.8.6

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