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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
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 |
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