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Application of convolutional neural networks to breast biopsies to delineate tissue correlates of mammographic breast density
Breast density, a breast cancer risk factor, is a radiologic feature that reflects fibroglandular tissue content relative to breast area or volume. Its histology is incompletely characterized. Here we use deep learning approaches to identify histologic correlates in radiologically-guided biopsies th...
Autores principales: | Mullooly, Maeve, Ehteshami Bejnordi, Babak, Pfeiffer, Ruth M., Fan, Shaoqi, Palakal, Maya, Hada, Manila, Vacek, Pamela M., Weaver, Donald L., Shepherd, John A., Fan, Bo, Mahmoudzadeh, Amir Pasha, Wang, Jeff, Malkov, Serghei, Johnson, Jason M., Herschorn, Sally D., Sprague, Brian L., Hewitt, Stephen, Brinton, Louise A., Karssemeijer, Nico, van der Laak, Jeroen, Beck, Andrew, Sherman, Mark E., Gierach, Gretchen L. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6864056/ https://www.ncbi.nlm.nih.gov/pubmed/31754628 http://dx.doi.org/10.1038/s41523-019-0134-6 |
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