Table 3 Comparison of AUC values of the proposed method with other ones developed using MR images
Study | Type of Image | Model | AUC (%) |
|---|---|---|---|
Castillo et al. [18] | mpMRI | the deep-learning | 88, 91 and 65 |
the radiomics | 0.70, 0.73 and 0.44 | ||
Chaddad et al. [24] | mpMRI | the radiomics | 83.40, 72.71, and 77.35% |
Donisi et al. [22] | MRI | the radiomics | 80 |
Gong et al. [25] | MRI | the radiomics | 79.4 |
Wang et al. [15] | ADC | the deep-learning | 94 |
T2W | the deep-learning | 90 | |
Bertelli et al. [26] | T2W | the deep-learning | 0.75 |
Our study | mpMRI | the radiomics | 92 |
the deep-learning | 95 | ||
combination of deep features and radiomics features | 94 |