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Triplanar U-Net with lesion-wise voting for the segmentation of new lesions on longitudinal MRI studies
We present a deep learning method for the segmentation of new lesions in longitudinal FLAIR MRI sequences acquired at two different time points. In our approach, the 3D volumes are processed slice-wise across the coronal, axial, and sagittal planes and the predictions from the three orientations are...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9412001/ https://www.ncbi.nlm.nih.gov/pubmed/36033604 http://dx.doi.org/10.3389/fnins.2022.964250 |