A Deep Residual U-Net Algorithm for Automatic Detection and Quantification of Ascites on Abdominopelvic Computed Tomography Images Acquired in the Emergency Department: Model Development and Validation.
J Med Internet Res
; 24(1): e34415, 2022 01 03.
Article
in En
| MEDLINE
| ID: mdl-34982041
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Artificial Intelligence
/
Deep Learning
Type of study:
Diagnostic_studies
/
Prognostic_studies
Limits:
Humans
Language:
En
Journal:
J Med Internet Res
Year:
2022
Document type:
Article