Stacked Hourglass Network with a Multi-level Attention Mechanism: Where to Look for Intervertebral Disc Labeling

1 code implementation • 14 Aug 2021 • Reza Azad, Lucas Rouhier, Julien Cohen-Adad

To further improve the performance of the proposed method, we propose a skeleton-based search space to reduce false positive detection.

Pose Estimation Semantic Segmentation

ivadomed: A Medical Imaging Deep Learning Toolbox

1 code implementation • 20 Oct 2020 • Charley Gros, Andreanne Lemay, Olivier Vincent, Lucas Rouhier, Anthime Bucquet, Joseph Paul Cohen, Julien Cohen-Adad

ivadomed is an open-source Python package for designing, end-to-end training, and evaluating deep learning models applied to medical imaging data.

object-detection Object Detection +1

Spine intervertebral disc labeling using a fully convolutional redundant counting model

1 code implementation • MIDL 2019 • Lucas Rouhier, Francisco Perdigon Romero, Joseph Paul Cohen, Julien Cohen-Adad

Labeling intervertebral discs is relevant as it notably enables clinicians to understand the relationship between a patient's symptoms (pain, paralysis) and the exact level of spinal cord injury.

U-Net Fixed-Point Quantization for Medical Image Segmentation

2 code implementations • 2 Aug 2019 • MohammadHossein AskariHemmat, Sina Honari, Lucas Rouhier, Christian S. Perone, Julien Cohen-Adad, Yvon Savaria, Jean-Pierre David

We then apply our quantization algorithm to three datasets: (1) the Spinal Cord Gray Matter Segmentation (GM), (2) the ISBI challenge for segmentation of neuronal structures in Electron Microscopic (EM), and (3) the public National Institute of Health (NIH) dataset for pancreas segmentation in abdominal CT scans.

Image Segmentation Pancreas Segmentation +3