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Two-phase learning-based 3D deblurring method for digital breast tomosynthesis images
In digital breast tomosynthesis (DBT) systems, projection data are acquired from a limited number of angles. Consequently, the reconstructed images contain severe blurring artifacts that might heavily degrade the DBT image quality and cause difficulties in detecting lesions. In this study, we propos...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8786177/ https://www.ncbi.nlm.nih.gov/pubmed/35073353 http://dx.doi.org/10.1371/journal.pone.0262736 |