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Detecting Asymmetric Patterns and Localizing Cancers on Mammograms
One in eight women develops invasive breast cancer in her lifetime. The frontline protection against this disease is mammography. While computer-assisted diagnosis algorithms have made great progress in generating reliable global predictions, few focus on simultaneously producing regions of interest...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7566852/ https://www.ncbi.nlm.nih.gov/pubmed/33073255 http://dx.doi.org/10.1016/j.patter.2020.100106 |