Enhancing low-dose CT denoising via multi-view knowledge transfer without paired data
IntroductionDespite remarkable advancements in deep learning for low-dose computed tomography (LDCT) denoising, two significant challenges persist: (i) the requirement for paired LDCT and high-dose computed tomography (HDCT) images, which are often impractical to obtain in clinical settings; and (ii...
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| Autori principali: | , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Frontiers Media S.A.
2026-05-01
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| Serie: | Frontiers in Radiology |
| Soggetti: | |
| Accesso online: | https://www.frontiersin.org/articles/10.3389/fradi.2026.1691258/full |
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