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Deep learning-based simultaneous registration and unsupervised non-correspondence segmentation of medical images with pathologies
PURPOSE: The registration of medical images often suffers from missing correspondences due to inter-patient variations, pathologies and their progression leading to implausible deformations that cause misregistrations and might eliminate valuable information. Detecting non-corresponding regions simu...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8948150/ https://www.ncbi.nlm.nih.gov/pubmed/35239133 http://dx.doi.org/10.1007/s11548-022-02577-4 |