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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
IOP Publishing
2023
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| Materias: | |
| 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 |