The effect of variable labels on deep learning models trained to predict breast density

Purpose. High breast density is associated with reduced efficacy of mammographic screening and increased risk of developing breast cancer. Accurate and reliable automated density estimates can be used for direct risk prediction and passing density related information to further predictive models. Ex...

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Detalles Bibliográficos
Autores principales: Squires, Steven, Harkness, Elaine F, Evans, D Gareth, Astley, Susan M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IOP Publishing 2023
Materias:
Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10114494/
https://www.ncbi.nlm.nih.gov/pubmed/37023727
http://dx.doi.org/10.1088/2057-1976/accaea

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10114494/
https://www.ncbi.nlm.nih.gov/pubmed/37023727
http://dx.doi.org/10.1088/2057-1976/accaea

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