Yüklüyor......
A deep learning reconstruction framework for X-ray computed tomography with incomplete data
As a powerful imaging tool, X-ray computed tomography (CT) allows us to investigate the inner structures of specimens in a quantitative and nondestructive way. Limited by the implementation conditions, CT with incomplete projections happens quite often. Conventional reconstruction algorithms are not...
Kaydedildi:
| Yayımlandı: | PLoS One |
|---|---|
| Asıl Yazarlar: | , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Public Library of Science
2019
|
| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6824569/ https://ncbi.nlm.nih.gov/pubmed/31675363 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0224426 |
| Etiketler: |
Etiketle
Etiket eklenmemiş, İlk siz ekleyin!
|