TF-Unet: An automatic cardiac MRI image segmentation method

Personalizedheart models are widely used to study the mechanisms of cardiac arrhythmias and have been used to guide clinical ablation of different types of arrhythmias in recent years. MRI images are now mostly used for model building. In cardiac modeling studies, the degree of segmentation of the h...

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Bibliographic Details
Main Authors:	Deng, D. (Author), Fu, Z. (Author), Luo, R. (Author), Sun, Y. (Author), Xia, L. (Author), Zhang, J. (Author)
Format:	Article
Language:	English
Published:	American Institute of Mathematical Sciences 2022
Subjects:	3D modeling article Automated segmentation Cardiac arrhythmia Cardiac MRI cardiovascular magnetic resonance controlled study Convolution convolutional neural network deep learning Deep learning feature extraction Fully automated Heart human image segmentation Image segmentation Images segmentations Magnetic resonance imaging medical image segmentation Medical image segmentation Medical imaging MRI MRI Image neural networks Neural networks Neural-networks nuclear magnetic resonance imaging Segmentation methods synapse Three dimensional computer graphics
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TF-Unet: An automatic cardiac MRI image segmentation method

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