Early prediction of neoadjuvant chemotherapy response for advanced breast cancer using PET/MRI image deep learning

This study aimed to investigate the predictive efficacy of positron emission tomography/computed tomography (PET/CT) and magnetic resonance imaging (MRI) for the pathological response of advanced breast cancer to neoadjuvant chemotherapy (NAC). The breast PET/MRI image deep learning model was introd...

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Detalles Bibliográficos
Autores principales: Choi, Joon Ho, Kim, Hyun-Ah, Kim, Wook, Lim, Ilhan, Lee, Inki, Byun, Byung Hyun, Noh, Woo Chul, Seong, Min-Ki, Lee, Seung-Sook, Kim, Byung Il, Choi, Chang Woon, Lim, Sang Moo, Woo, Sang-Keun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7712787/
https://www.ncbi.nlm.nih.gov/pubmed/33273490
http://dx.doi.org/10.1038/s41598-020-77875-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7712787/
https://www.ncbi.nlm.nih.gov/pubmed/33273490
http://dx.doi.org/10.1038/s41598-020-77875-5

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