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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...

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Detalles Bibliográficos
Autores principales: Sun, Chang, Liu, Yitong, Yang, Hongwen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
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