The following represents disclosure information provided by authors of this abstract. The program committee has reviewed all presenting author disclosure reports, identified potential conflicts of interest, and implemented strategies to manage those areas of conflict, where appropriate. All relationships are considered compensated. Relationships are self-held unless otherwise noted. I = Immediate Family Member, Inst = My Institution
 
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Machine learning radiomics signature on magnetic resonance imaging associated with phenotypes and disease-free survival in patients with breast cancer (RBC-01): A registry-based, multicenter cohort study.
 
Herui Yao
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Yunfang Yu
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Yujie Tan
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Qiugen Hu
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Jie Ouyang
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Yongjian Chen
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Yang Gu
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Anlin Li
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Zifan He
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Yaping Yang
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Kai Chen
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Jiafan Ma
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Chenchen Li
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Mudi Ma
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Xiaohong Li
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Haitao Zhong
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Qiyun Ou
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Zhuo Wu
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Fengxi Su
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Erwei Song
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