Cargando...
Improving Image Quality of Cone-Beam CT Using Alternating Regression Forest
We propose a CBCT image quality improvement method based on anatomic signature and auto-context alternating regression forest. Patient-specific anatomical features are extracted from the aligned training images and served as signatures for each voxel. The most relevant and informative features are i...
Gardado en:
| Publicado en: | Proc SPIE Int Soc Opt Eng |
|---|---|
| Main Authors: | , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
2018
|
| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6711599/ https://ncbi.nlm.nih.gov/pubmed/31456600 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/12.2292886 |
| Tags: |
Engadir etiqueta
Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!
|