Deep Learning Models for Automated Assessment of Breast Density Using Multiple Mammographic Image Types

SIMPLE SUMMARY: The DL model predictions in automated breast density assessment were independent of the imaging technologies, moderately or substantially agreed with the clinical reader density values, and had improved performance as compared to inclusion of commercial software values. ABSTRACT: Rec...

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Detalles Bibliográficos
Autores principales: Rigaud, Bastien, Weaver, Olena O., Dennison, Jennifer B., Awais, Muhammad, Anderson, Brian M., Chiang, Ting-Yu D., Yang, Wei T., Leung, Jessica W. T., Hanash, Samir M., Brock, Kristy K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9599904/
https://www.ncbi.nlm.nih.gov/pubmed/36291787
http://dx.doi.org/10.3390/cancers14205003

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9599904/
https://www.ncbi.nlm.nih.gov/pubmed/36291787
http://dx.doi.org/10.3390/cancers14205003

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