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Self‐adaption and texture generation: A hybrid loss function for low‐dose CT denoising
BACKGROUND: Deep learning has been successfully applied to low‐dose CT (LDCT) denoising. But the training of the model is very dependent on an appropriate loss function. Existing denoising models often use per‐pixel loss, including mean abs error (MAE) and mean square error (MSE). This ignores the d...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley and Sons Inc.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10476999/ https://www.ncbi.nlm.nih.gov/pubmed/37571834 http://dx.doi.org/10.1002/acm2.14113 |