Assessing the Impact of Image Quality on Deep Learning Classification of Infectious Keratitis

OBJECTIVE: To investigate the impact of corneal photograph quality on convolutional neural network (CNN) predictions. DESIGN: A CNN trained to classify bacterial and fungal keratitis was evaluated using photographs of ulcers labeled according to 5 corneal image quality parameters: eccentric gaze dir...

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Detalles Bibliográficos
Autores principales: Hanif, Adam, Prajna, N. Venkatesh, Lalitha, Prajna, NaPier, Erin, Parker, Maria, Steinkamp, Peter, Keenan, Jeremy D., Campbell, J. Peter, Song, Xubo, Redd, Travis K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10618822/
https://www.ncbi.nlm.nih.gov/pubmed/37920421
http://dx.doi.org/10.1016/j.xops.2023.100331

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10618822/
https://www.ncbi.nlm.nih.gov/pubmed/37920421
http://dx.doi.org/10.1016/j.xops.2023.100331

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