Multimodal deep learning models for the prediction of pathologic response to neoadjuvant chemotherapy in breast cancer

The achievement of the pathologic complete response (pCR) has been considered a metric for the success of neoadjuvant chemotherapy (NAC) and a powerful surrogate indicator of the risk of recurrence and long-term survival. This study aimed to develop a multimodal deep learning model that combined cli...

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Detalles Bibliográficos
Autores principales: Joo, Sunghoon, Ko, Eun Sook, Kwon, Soonhwan, Jeon, Eunjoo, Jung, Hyungsik, Kim, Ji-Yeon, Chung, Myung Jin, Im, Young-Hyuck
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8458289/
https://www.ncbi.nlm.nih.gov/pubmed/34552163
http://dx.doi.org/10.1038/s41598-021-98408-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8458289/
https://www.ncbi.nlm.nih.gov/pubmed/34552163
http://dx.doi.org/10.1038/s41598-021-98408-8

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