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Comparing the performance of optimized support vector machine model in predicting efficacy of chemo-radiotherapy for advanced rectal cancer with and without a paired-difference up-sampling strategy under small sample size

Evaluating the feasibility of predicting the multiple pathological indexes of hepatocellular carcinoma with a single MR scan

Author:Xue Han  Yunfei Zhang  Qi Wang  Yan Ding  Hui Liu  Xiaojing Ma  Gaofeng Shi  Yongming Dai  

Institution:The Fourth Affiliated Hospital of Hebei Medical University  United Imaging Healthcare  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:Abdominopelvic MRI - Cancer  

Session Name:Hepatocellular Carcinoma  

Program Number:2403  

Room Live Q&A Session:

Evaluating the pairwise AdaBoost model in predicting the efficacy of chemo-radiotherapy for advanced rectal cancer under small sample size

Predicting the efficacy of chemo-radiotherapy for advanced rectal cancer using support vector machine model and a paired-difference up-sampling strategy under small sample size

Predicting the efficacy of neoadjuvant chemo-radiotherapy for advanced rectal cancer using random forest model and a paired-difference up-sampling strategy under small sample size