- Tytuł:
- Fully‑automated deep‑learning segmentation of pediatric cardiovascular magnetic resonance of patients with complex congenital heart diseases.
- Autorzy:
- Źródło:
- Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance [J Cardiovasc Magn Reson] 2020 Nov 30; Vol. 22 (1), pp. 80. Date of Electronic Publication: 2020 Nov 30.
- Typ publikacji:
- Comparative Study; Journal Article; Research Support, Non-U.S. Gov't; Validation Study
- MeSH Terms:
-
Deep Learning*
Image Interpretation, Computer-Assisted*
Magnetic Resonance Imaging*
Heart Defects, Congenital/*diagnostic imaging
Adolescent ; Age Factors ; Automation ;Child ;Child ,Preschool ; Female ; Heart Defects, Congenital/physiopathology ; Humans ; Male ; Predictive Value of Tests ; Reproducibility of Results ; Workflow
Czasopismo naukowe