A multi-channel deep learning approach for lung cavity estimation from hyperpolarized gas and proton MRI
Attributed to:
Extending the clinical reach of MRI scanning through innovative low-field engineering and hyperpolarised xenon technology
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.58530/2022/1395
Publication URI: http://dx.doi.org/10.58530/2022/1395
Type: Conference/Paper/Proceeding/Abstract