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Multi-center evaluation of machine learning-based radiomic model in predicting disease free survival and adjuvant chemotherapy benefit in stage II colorectal cancer patients

Zhu, H; Hu, MN; Ma, YR; Yao, X; Lin, XZ; Li, ML; Li, Y; Wu, ZY; Shi, DB; Tong, T; Chen, HY

Tong, T (通讯作者),Fudan Univ, Shanghai Canc Ctr, Shanghai Med Coll, Dept Diagnost Radiol, 270 DongAn Rd, Shanghai 200032, Peoples R China.;Chen, HY (通讯作者),Shanghai Jiao Tong Univ, Renji Hosp, Shanghai Canc Inst, Shanghai Inst Digest Dis,State Key Lab Oncogenes &, Shanghai, Peoples R China.;Wu, ZY (通讯作者),Shanghai Jiao Tong Univ, Rui Jin Hosp, Dept Radiol, Sch Med, 197 Rui Jin Er Rd, Shanghai 200025, Peoples R China.;Shi, DB (通讯作者),Fudan Univ, Shanghai Canc Ctr, Shanghai Med Coll, Dept Colorectal Surg, 270 DongAn Rd, Shanghai 200032, Peoples R China.

CANCER IMAGING, 2023; 23 (1):

Abstract

BackgroundOur study aimed to explore the potential of radiomics features derived from CT images in predicting the prognosis and response to adjuvant c......

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