Cargando…
Quantitative evaluation of deep convolutional neural network-based image denoising for low-dose computed tomography
To minimize radiation risk, dose reduction is important in the diagnostic and therapeutic applications of computed tomography (CT). However, image noise degrades image quality owing to the reduced X-ray dose and a possible unacceptably reduced diagnostic performance. Deep learning approaches with co...
| Autores principales: | , , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Singapore
2021
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8310822/ https://www.ncbi.nlm.nih.gov/pubmed/34304321 http://dx.doi.org/10.1186/s42492-021-00087-9 |