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Predicting treatment response to neoadjuvant chemoradiotherapy in local advanced rectal cancer by biopsy digital pathology image features

Quantitative features extracted from biopsy digital pathology images can provide predictive information for neoadjuvant chemoradiotherapy (nCRT) in local advanced rectal cancer (LARC) Machine learning technologies are applied to build the digital‐pathology‐based pathology signature The pathology sig...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Veröffentlicht in:Clin Transl Med
Hauptverfasser: Zhang, Fang, Yao, Su, Li, Zhi, Liang, Changhong, Zhao, Ke, Huang, Yanqi, Gao, Ying, Qu, Jinrong, Li, Zhenhui, Liu, Zaiyi
Format: Artigo
Sprache:Inglês
Veröffentlicht: John Wiley and Sons Inc. 2020
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7403709/
https://ncbi.nlm.nih.gov/pubmed/32594660
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/ctm2.110
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