Comparisons with the State-of-the-art Methods
We compared our model with three state-of-the-art models using AUC, i.e. Resnet50 [16], DANN [17], and Deep Coral [18]. Dataset, P-x, was used as the source domain. Our local cohort datasets, LC-A and LC-B, acted as the target domains. The individual (i.e. T2, ADC, and hDWI) and the ensembled (i.e. T2 + ADC + hDWI) sequences were involved. The other ensembled sequences, T2 + ADC, T2 + hDWI, and ADC + hDWI were not involved here due to their inferior performance as discussed in Section 4.2. Detailed comparison results are summarized in Table 5.
Table 5. AUC comparisons on malignancy classification (i.e.
csPCa or non-csPCa) with the three existing models.