Identification of suspicious invasive placentation based on clinical MRI data using textural features and automated machine learning.
Objective: The aim of this study was to investigate whether intraplacental texture features from routine placental MRI can objectively and accurately predict invasive placentation.Material and Methods: This retrospective study includes 99 pregnant women with pathologically confirmed placental invasi...
| Publicado en: | European Radiology Vol. 29; no. 11; pp. 6152 - 6163 |
|---|---|
| Autores principales: | , , , , , , , , |
| Formato: | diagnostic images research tables/charts Journal Article |
| Publicado: |
Springer Nature
Nov2019
|
| Acceso en línea: | Ver este registro en EBSCOhost |