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...

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Detalles Bibliográficos
Autores principales: Hitziger, Sebastian, Ling, Wen Xin, Fritz, Thomas, D'Albis, Tiziano, Lemke, Andreas, Grilo, Joana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
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

Internet

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

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