3D spatial priors for semi-supervised organ segmentation with deep convolutional neural networks.

Journal: International journal of computer assisted radiology and surgery
Published Date:

Abstract

PURPOSE: Fully Convolutional neural Networks (FCNs) are the most popular models for medical image segmentation. However, they do not explicitly integrate spatial organ positions, which can be crucial for proper labeling in challenging contexts.

Authors

  • Olivier Petit
    CEDRIC, Conservatoire National des Arts et Metiers, 292 rue Saint-Martin, Paris, 75003, France; Visible Patient, 8 rue Gustave Adolphe Hirn, Strasbourg, 67000, France. Electronic address: olivier.petit@visiblepatient.com.
  • Nicolas Thome
    CEDRIC, Conservatoire National des Arts et Metiers, 292 rue Saint-Martin, Paris, 75003, France.
  • Luc Soler