Picture for Salvatore Vitabile

Salvatore Vitabile

Rad4XCNN: a new agnostic method for post-hoc global explanation of CNN-derived features by means of radiomics

Add code
Apr 26, 2024
Viaarxiv icon

USE-Net: incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets

Add code
Apr 17, 2019
Figure 1 for USE-Net: incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets
Figure 2 for USE-Net: incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets
Figure 3 for USE-Net: incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets
Figure 4 for USE-Net: incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets
Viaarxiv icon

CNN-based Prostate Zonal Segmentation on T2-weighted MR Images: A Cross-dataset Study

Add code
Mar 29, 2019
Figure 1 for CNN-based Prostate Zonal Segmentation on T2-weighted MR Images: A Cross-dataset Study
Figure 2 for CNN-based Prostate Zonal Segmentation on T2-weighted MR Images: A Cross-dataset Study
Figure 3 for CNN-based Prostate Zonal Segmentation on T2-weighted MR Images: A Cross-dataset Study
Figure 4 for CNN-based Prostate Zonal Segmentation on T2-weighted MR Images: A Cross-dataset Study
Viaarxiv icon