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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:	Article
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

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