Učitavanje...
Predicting (15)O-Water PET cerebral blood flow maps from multi-contrast MRI using a deep convolutional neural network with evaluation of training cohort bias
To improve the quality of MRI-based cerebral blood flow (CBF) measurements, a deep convolutional neural network (dCNN) was trained to combine single- and multi-delay arterial spin labeling (ASL) and structural images to predict gold-standard (15)O-water PET CBF images obtained on a simultaneous PET/...
Spremljeno u:
| Izdano u: | J Cereb Blood Flow Metab |
|---|---|
| Glavni autori: | , , , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
SAGE Publications
2019
|
| Teme: | |
| Online pristup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7585922/ https://ncbi.nlm.nih.gov/pubmed/31722599 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/0271678X19888123 |
| Oznake: |
Dodaj oznaku
Bez oznaka, Budi prvi tko označuje ovaj zapis!
|