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Insights into Imaging
Fig. 3 | Insights into Imaging

Fig. 3

From: Generalizable transfer learning of automated tumor segmentation from cervical cancers toward a universal model for uterine malignancies in diffusion-weighted MRI

Fig. 3

Performances of models in predicting the combined cervical and uterine dataset using various training combinations and sample sizes on the uterine tumors (UT) dataset. The L1, L2 and L3 in TL models indicate the fine-tune levels as indicated in Fig. 1. Data are expressed as means with error bars of standard deviation

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