Deep learning models for segmentation of dynamic axial MRI of hernia patients
Abstract
This dataset contains anonymized axial magnetic resonance imaging (MRI) data of abdominal region of eighteen in vivo participants having an abdominal hernia. The acquisitions were made both before and after their hernia surgery, performing three exercises: breathing, coughing and Valsalva. This dataset includes the pre-processed anatomical MRI slices and corresponding ground truth segmented masks. Please look at the README file for more informations
Fields of Study & Subjects
Medical Image Segmentation Techniques
Hernia repair and management
Medical Imaging and Analysis
Publication details
- Journal / source
- Recherche Data Gouv France
- Publication date
- 1 January 2026
- Language
- EN
- Document type
- Dataset