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...

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Detalles Bibliográficos
Autores principales: Choi, Yunsu, Han, Minah, Jang, Hanjoo, Shim, Hyunjung, Baek, Jongduk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
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

Internet

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

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