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Degradation-Aware Deep Learning Framework for Sparse-View CT Reconstruction
Sparse-view CT reconstruction is a fundamental task in computed tomography to overcome undesired artifacts and recover the details of textual structure in degraded CT images. Recently, many deep learning-based networks have achieved desirable performances compared to iterative reconstruction algorit...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8704775/ https://www.ncbi.nlm.nih.gov/pubmed/34941649 http://dx.doi.org/10.3390/tomography7040077 |