Deep learning with biopsy whole slide images for pretreatment prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer：A multicenter study

INTRODUCTION: Predicting pathological complete response (pCR) for patients receiving neoadjuvant chemotherapy (NAC) is crucial in establishing individualized treatment. Whole-slide images (WSIs) of tumor tissues reflect the histopathologic information of the tumor, which is important for therapeutic...

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Detalles Bibliográficos
Autores principales: Li, Bao, Li, Fengling, Liu, Zhenyu, Xu, FangPing, Ye, Guolin, Li, Wei, Zhang, Yimin, Zhu, Teng, Shao, Lizhi, Chen, Chi, Sun, Caixia, Qiu, Bensheng, Bu, Hong, Wang, Kun, Tian, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9619175/
https://www.ncbi.nlm.nih.gov/pubmed/36308926
http://dx.doi.org/10.1016/j.breast.2022.10.004

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9619175/
https://www.ncbi.nlm.nih.gov/pubmed/36308926
http://dx.doi.org/10.1016/j.breast.2022.10.004

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