Better efficacy in differentiating WHO grade II from III oligodendrogliomas with machine-learning than radiologist's reading from conventional T1 contrast-enhanced and fluid attenuated inversion recovery images.
BMC Neurol
; 20(1): 48, 2020 Feb 07.
Article
in En
| MEDLINE
| ID: mdl-32033580
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Oligodendroglioma
/
Magnetic Resonance Imaging
/
Machine Learning
Type of study:
Diagnostic_studies
/
Observational_studies
Limits:
Adolescent
/
Adult
/
Aged
/
Child
/
Female
/
Humans
/
Male
/
Middle aged
Language:
En
Journal:
BMC Neurol
Journal subject:
NEUROLOGIA
Year:
2020
Type:
Article