CardSegNet: An adaptive hybrid CNN-vision transformer model for heart region segmentation in cardiac MRI-Reference-Cited by-同舟云学术

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CardSegNet: An adaptive hybrid CNN-vision transformer model for heart region segmentation in cardiac MRI

Published:2024-07 Issue: Volume:115 Page:102382
ISSN:0895-6111
Container-title:Computerized Medical Imaging and Graphics
language:en
Short-container-title:Computerized Medical Imaging and Graphics

Author:

Aghapanah Hamed,Rasti Reza^ORCID,Kermani Saeed,Tabesh Faezeh,Banaem Hossein Yousefi,Aliakbar Hamidreza Pour,Sanei Hamid,Segars William Paul

Funder

Isfahan University of Medical Sciences

Publisher

Elsevier BV

Reference62 articles.

1. MRI safety considerations during pregnancy;Lum;Clin. Imaging,2020

2. Representation of cardiovascular magnetic resonance in the AHA/ACC guidelines;von Knobelsdorff-Brenkenhoff;J. Cardiovasc. Magn. Reson.,2017

3. Textbook of Cardiovascular Medicine;Topol,2007

4. nn-TransUNet: an automatic deep learning pipeline for heart MRI segmentation;Zhao;Life,2022

5. Dual attention network for scene segmentation,” in Proceedings of;Fu;IEEE/CVF Conf. Comput. Vis. Pattern Recognit.,2019

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