This study proposes an automated prostate MRI data segmentation approach using bicubic interpolation with improved 3D V-Net (dubbed 3D PBV-Net).
Dec 7, 2020 · This study proposes an automated prostate MRI data segmentation approach using bicubic interpolation with improved 3D V-Net (dubbed 3D PBV-Net).
This study proposes an automated prostate MRI data segmentation approach using bicubic interpolation with improved 3D V-Net (dubbed 3D PBV-Net). Considering ...
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Automated prostate segmentation of T2-weighted MR images used to estimate three-dimensional prostate size. Prostate volume measurements have multiple ...
3D PBV-Net: An automated prostate MRI data segmentation method. Comput. Biol ... Net: Multi-Site Network for Improving Prostate Segmentation with Heterogeneous ...
Dec 20, 2024 · A novel 24-sector automatic segmentation grid map (ASG) for prostate MRI was developed and validated. · The ASG algorithm outperformed ...
This study evaluated a previously developed automatic WPG segmentation, deep attentive neural network (DANN), on a large, continuous patient cohort.
We provide an openly accessible, expert-annotated 3T dataset of prostate MRI and a reproducible benchmark to foster the development of prostate segmentation ...
Aug 4, 2021 · Allen et al., published an automatic prostate segmentation method, which classifies each voxel point in the peripheral zone and the central zone ...
3D PBV-Net: An automated prostate MRI data segmentation method. Article. Jan ... On this basis, a 3D PBV-Net is developed to perform prostate MRI data ...