Automatic delineation of left ventricle contours in MRI using deep learning-Reference-Cited by-同舟云学术

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Automatic delineation of left ventricle contours in MRI using deep learning

Published:2022-05-24 Issue: Volume: Page:
ISSN:
Container-title:2022 6th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)
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Author:

Wafa Baccouch¹,Sameh Oueslati¹,Basel Solaiman²,Salam Labidi¹

Affiliation:

1. University of Tunis El Manar Higher Institute of Medical Technologies of Tunis, Research Laboratory of Biophysics and Medical Technologies,Tunis,Tunisia

2. IMT-Atlantique, Technopôle Brest Iroise CS 83818,Image & Information Processing Department (iTi),Brest Cedex,France,29238

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9805808/9805811/09805889.pdf?arnumber=9805889

Reference22 articles.

1. Segmentation of left ventricle myocardium in porcine cardiac cine mr images using a hybrid of fully convolutional neural networks and convolutional lstm;zhang;Medical Imaging 2018 Image Processing,2018

2. Automatic Left Ventricle Segmentation from Short-Axis Cardiac MRI Images Based on Fully Convolutional Neural Network

3. Multiscale attention guided U-Net architecture for cardiac segmentation in short-axis MRI images

4. Dynamic pixel-wise weighting-based fully convolutional neural networks for left ventricle segmentation in short-axis MRI

5. Automatic left ventricle segmentation in short-axis MRI using deep convolutional neural networks and central-line guided level set approach

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