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Deep learning prediction of pathological complete response, residual cancer burden, and progression-free survival in breast cancer patients
The goal of this study was to employ novel deep-learning convolutional-neural-network (CNN) to predict pathological complete response (PCR), residual cancer burden (RCB), and progression-free survival (PFS) in breast cancer patients treated with neoadjuvant chemotherapy using longitudinal multiparam...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9821469/ https://www.ncbi.nlm.nih.gov/pubmed/36607982 http://dx.doi.org/10.1371/journal.pone.0280148 |