Early Prediction of Breast Cancer Recurrence for Patients Treated with Neoadjuvant Chemotherapy: A Transfer Learning Approach on DCE-MRIs

SIMPLE SUMMARY: An early prediction of Breast Cancer Recurrence (BCR) for patients undergoing neoadjuvant chemotherapy (NACT) could better guide clinicians in the identification of the most suitable combination treatments for individual patient scenarios. We proposed a transfer learning approach to...

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Detalles Bibliográficos
Autores principales: Comes, Maria Colomba, La Forgia, Daniele, Didonna, Vittorio, Fanizzi, Annarita, Giotta, Francesco, Latorre, Agnese, Martinelli, Eugenio, Mencattini, Arianna, Paradiso, Angelo Virgilio, Tamborra, Pasquale, Terenzio, Antonella, Zito, Alfredo, Lorusso, Vito, Massafra, Raffaella
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8151784/
https://www.ncbi.nlm.nih.gov/pubmed/34064923
http://dx.doi.org/10.3390/cancers13102298

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8151784/
https://www.ncbi.nlm.nih.gov/pubmed/34064923
http://dx.doi.org/10.3390/cancers13102298

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