Mammographic Breast Density Model Using Semi-Supervised Learning Reduces Inter-/Intra-Reader Variability

Breast density is an important risk factor for breast cancer development; however, imager inconsistency in density reporting can lead to patient and clinician confusion. A deep learning (DL) model for mammographic density grading was examined in a retrospective multi-reader multi-case study consisti...

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Detalles Bibliográficos
Autores principales: Watanabe, Alyssa T., Retson, Tara, Wang, Junhao, Mantey, Richard, Chim, Chiyung, Karimabadi, Homa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10453732/
https://www.ncbi.nlm.nih.gov/pubmed/37627953
http://dx.doi.org/10.3390/diagnostics13162694

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10453732/
https://www.ncbi.nlm.nih.gov/pubmed/37627953
http://dx.doi.org/10.3390/diagnostics13162694

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