Deep learning-based predictive biomarker of pathological complete response to neoadjuvant chemotherapy from histological images in breast cancer

BACKGROUND: Pathological complete response (pCR) is considered a surrogate endpoint for favorable survival in breast cancer patients treated with neoadjuvant chemotherapy (NAC). Predictive biomarkers of treatment response are crucial for guiding treatment decisions. With the hypothesis that histolog...

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Detalles Bibliográficos
Autores principales: Li, Fengling, Yang, Yongquan, Wei, Yani, He, Ping, Chen, Jie, Zheng, Zhongxi, Bu, Hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8365907/
https://www.ncbi.nlm.nih.gov/pubmed/34399795
http://dx.doi.org/10.1186/s12967-021-03020-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8365907/
https://www.ncbi.nlm.nih.gov/pubmed/34399795
http://dx.doi.org/10.1186/s12967-021-03020-z

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