Skip to main content
Fig. 5 | BMC Cancer

Fig. 5

From: Develop and validate a radiomics space-time model to predict the pathological complete response in patients undergoing neoadjuvant treatment of rectal cancer: an artificial intelligence model study based on machine learning

Fig. 5

Figure A shows the ROC curve comparison of RSTM and the combined basic model and DIS. Figure B shows the Taylor plot of model comparison, showing that the performance of the RSTM is the closest to the observation point, reflecting the superiority of KNN modeling, where abscissa is the standard deviation, the radiation line is the correlation coefficient, and the dotted line is the root mean square error

Back to article page