Philosophie d’informatisation et pratique sociale

Le processus d'informatisation au sein des établissements du réseau des Affaires sociales du Québec est amorcé. À l'aide de deux documents d'informatisation : le Plan directeur informatique 1986-1990, du C.S.S.M.M., et Les systèmes d'information au C.L.S.C Pierrefonds, l'auteure présente les enjeux philosophiques ou idéologiques sous-jacents à l'implantation et à l'utilisation d'un système informatisé de cueillette et de traitement de l'information et questionne les retombées d'un tel système sur la pratique professionnelle du service social

GridNet with automatic shape prior registration for automatic MRI cardiac segmentation

In this paper, we propose a fully automatic MRI cardiac segmentation method based on a novel deep convolutional neural network (CNN) designed for the 2017 ACDC MICCAI challenge. The novelty of our network comes with its embedded shape prior and its loss function tailored to the cardiac anatomy. Our model includes a cardiac centerof-mass regression module which allows for an automatic shape prior registration. Also, since our method processes raw MR images without any manual preprocessing and/or image cropping, our CNN learns both high-level features (useful to distinguish the heart from other organs with a similar shape) and low-level features (useful to get accurate segmentation results). Those features are learned with a multi-resolution conv-deconv "grid" architecture which can be seen as an extension of the U-Net. Experimental results reveal that our method can segment the left and right ventricles as well as the myocardium from a 3D MRI cardiac volume in 0.4 second with an average Dice coefficient of 0.90 and an average Hausdorff distance of 10.4 mm.Comment: 8 pages, 1 tables, 2 figure