Adhesion-related small bowel obstruction: deep learning for automatic transition-zone detection by CT

Adhesion-related small bowel obstruction: deep learning for automatic transition-zone detection by CT

Abstract Background To train a machine-learning model to locate the transition zone (TZ) of adhesion-related small bowel obstruction (SBO) on CT scans. Materials and methods We used 562 CTs performed in 2005–2018 in 404 patients with adhesion-related SBO. Annotation of the TZs was performed by exper...

Full description

Bibliographic Details
Main Authors: Quentin Vanderbecq, Roberto Ardon, Antoine De Reviers, Camille Ruppli, Axel Dallongeville, Isabelle Boulay-Coletta, Gaspard D’Assignies, Marc Zins
Format: Article
Language:English
Published: SpringerOpen 2022-01-01
Series:Insights into Imaging
Subjects:
Abdomen
Small bowel
Obstruction
Neural networks
Tomography (X-ray computed)
Online Access:https://doi.org/10.1186/s13244-021-01150-y

Internet

https://doi.org/10.1186/s13244-021-01150-y

Similar Items