Automatic myocardial segmentation by using a deep learning network in cardiac MRI

  title={Automatic myocardial segmentation by using a deep learning network in cardiac MRI},
  author={A. Curiale and F. D. Colavecchia and Pablo Kaluza and R. Isoardi and G. Mato},
  journal={2017 XLIII Latin American Computer Conference (CLEI)},
Cardiac function is of paramount importance for both prognosis and treatment of different pathologies such as mitral regurgitation, ischemia, dyssynchrony and myocarditis. [...] Key Method We present several improvements to previous works in this paper: we propose to use the Jaccard distance as optimization objective function, we integrate a residual learning strategy into the code, and we introduce a batch normalization layer to train the fully convolutional neural network. Our results demonstrate that this…Expand
11 Citations
Automatic quantification of the LV function and mass: a deep learning approach for cardiovascular MRI
  • 13
  • PDF
Fully automatic segmentation of right and left ventricle on short-axis cardiac MRI images
An ensemble of U-Net architecture variants for left atrial segmentation
  • 5
Deep Learning in Cardiology
  • 40
  • PDF
Improving Sensitivity on Identification and Delineation of Intracranial Hemorrhage Lesion Using Cascaded Deep Learning Models
  • 21
Multi-view convolutional neural network with leader and long-tail particle swarm optimizer for enhancing heart disease and breast cancer detection


A review of segmentation methods in short axis cardiac MR images
  • 587
  • PDF
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
  • 2,799
  • PDF
A survey on deep learning in medical image analysis
  • 4,340
  • PDF
U-Net: Convolutional Networks for Biomedical Image Segmentation
  • 21,110
  • Highly Influential
  • PDF
MRI assessment of myocardial viability.
  • 29
Cardiac MRIClinical Perspective
  • 2
Cardiovascular magnetic resonance in myocarditis: A JACC White Paper.
  • 1,520
  • PDF