S25
Differential Diagnosis of uterine leiomyoma pathological subtypes: A Conditional Inference Tree Model Based on MRI-T2WI
Chao Wei1 and Jiangning Dong1
1Anhui provincial tumor hosptial, Hefei, China
The establishment  and  verification  of  conditional  inference  tree model based on based on the MRI-T2WI radiomics has high clinical value in the identification of three common pathological subtypes of uterine leiomyoma.
The ROC curves of normal type, cellular type and degenerate type were identified by conditional reasoning tree model. The left picture was training group, The right picture was validation group. 0 is normal type, 1 is cellular type, 2 was degenerate type, res was the remaining two groups.