A multicenter study to develop a non-invasive radiomic model to identify urinary infection stone in vivo using machine-learning.
Kidney Int
; 100(4): 870-880, 2021 10.
Article
in En
| MEDLINE
| ID: mdl-34129883
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Nomograms
/
Urolithiasis
Type of study:
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Limits:
Humans
Language:
En
Journal:
Kidney Int
Year:
2021
Document type:
Article
Country of publication:
United States