HybridFormer: a convolutional neural network-Transformer architecture for low dose computed tomography image denoising
Low-dose computed tomography (CT) is a potent strategy to minimize X-ray radiation and its detrimental effects on patients. However, reducing radiation significantly boosts noise in reconstructed images, causing blur and obscuring critical tissue details. This obscurity poses significant challenges...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
PeerJ Inc.
2025-07-01
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| Series: | PeerJ Computer Science |
| Assuntos: | |
| Acceso en liña: | https://peerj.com/articles/cs-2952.pdf |
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