Deep learning models for segmentation of dynamic axial MRI of hernia patients

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Authors: Niamh Belton, Victoria Joppin, Aonghus Lawlor, Kathleen M. Curran, Thierry Bège, Catherine Masson, David Bendahan
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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