Predicting treatment response to neoadjuvant chemoradiotherapy in local advanced rectal cancer by biopsy digital
Fang Zhang1,2, Su Yao3, Zhi Li3
1School of Computer Science and Engineering, South China University of Technology, Guangzhou, Guangdong, China.
Abstract:
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 signature is an independent predictor of treatment response to nCRT in LARC.
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