Carregant...
FatSegNet: A Fully Automated Deep Learning Pipeline for Adipose Tissue Segmentation on Abdominal Dixon MRI
PURPOSE: Introduce and validate a novel, fast and fully automated deep learning pipeline (FatSegNet) to accurately identify, segment, and quantify visceral and subcutaneous adipose tissue (VAT and SAT) within a consistent, anatomically defined abdominal region on Dixon MRI scans. METHOD: FatSegNet i...
Guardat en:
| Publicat a: | Magn Reson Med |
|---|---|
| Autors principals: | , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2019
|
| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6949410/ https://ncbi.nlm.nih.gov/pubmed/31631409 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mrm.28022 |
| Etiquetes: |
Afegir etiqueta
Sense etiquetes, Sigues el primer a etiquetar aquest registre!
|