Wavelet subband-specific learning for low-dose computed tomography denoising

Deep neural networks have shown great improvements in low-dose computed tomography (CT) denoising. Early algorithms were primarily optimized to obtain an accurate image with low distortion between the denoised image and reference full-dose image at the cost of yielding an overly smoothed unrealistic...

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Detalles Bibliográficos
Autores principales: Kim, Wonjin, Lee, Jaayeon, Kang, Mihyun, Kim, Jin Sung, Choi, Jang-Hwan
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/PMC9462582/
https://www.ncbi.nlm.nih.gov/pubmed/36084002
http://dx.doi.org/10.1371/journal.pone.0274308

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9462582/
https://www.ncbi.nlm.nih.gov/pubmed/36084002
http://dx.doi.org/10.1371/journal.pone.0274308

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