A deep learning quantified stroma-immune score to predict survival of patients with stage II–III colorectal cancer

BACKGROUND: Profound heterogeneity in prognosis has been observed in colorectal cancer (CRC) patients with intermediate levels of disease (stage II–III), advocating the identification of valuable biomarkers that could improve the prognostic stratification. This study aims to develop a deep learning-...

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Detalles Bibliográficos
Autores principales: Xu, Zeyan, Li, Yong, Wang, Yingyi, Zhang, Shenyan, Huang, Yanqi, Yao, Su, Han, Chu, Pan, Xipeng, Shi, Zhenwei, Mao, Yun, Xu, Yao, Huang, Xiaomei, Lin, Huan, Chen, Xin, Liang, Changhong, Li, Zhenhui, Zhao, Ke, Zhang, Qingling, Liu, Zaiyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Primary Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8557607/
https://www.ncbi.nlm.nih.gov/pubmed/34717647
http://dx.doi.org/10.1186/s12935-021-02297-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8557607/
https://www.ncbi.nlm.nih.gov/pubmed/34717647
http://dx.doi.org/10.1186/s12935-021-02297-w

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