Prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer using a deep learning (DL) method

BACKGROUND: The aim of the study was to develop a deep learning (DL) algorithm to evaluate the pathological complete response (pCR) to neoadjuvant chemotherapy in breast cancer. METHODS: A total of 302 breast cancer patients in this retrospective study were randomly divided into a training set (n = ...

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Detalles Bibliográficos
Autores principales: Qu, Yu‐Hong, Zhu, Hai‐Tao, Cao, Kun, Li, Xiao‐Ting, Ye, Meng, Sun, Ying‐Shi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons Australia, Ltd 2020
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7049483/
https://www.ncbi.nlm.nih.gov/pubmed/31944571
http://dx.doi.org/10.1111/1759-7714.13309

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7049483/
https://www.ncbi.nlm.nih.gov/pubmed/31944571
http://dx.doi.org/10.1111/1759-7714.13309

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