Feb 27, 2023 · To suppress noise and enhance the edge information, extra concatenations are added to bridge the features from the main and auxiliary branches.
1) We propose a novel network dubbed Dual-branch TransV-. Net (DBTV) for ventricle segmentation in the 3D echocar- diographic image. In particular, the features ...
A novel dual-branch TransV-Net, which comprises two parallel, interleaved, and relatively independent V-shaped encoder–decoder branches, is proposed and a ...
Jan 16, 2024 · To suppress noise and enhance the edge information, extra concatenations are added to bridge the features from the main and auxiliary branches.
In this paper, an echocardiogram segmentation method using ASM, Nakagami and mean squared eigenvalues error (MSEE) is proposed.
Apr 25, 2024 · Dual-Branch TransV-Net for 3-D Echocardiography Segmentation. IEEE Trans. Ind. Informatics 19(12): 11675-11686 (2023). [c1]. view. electronic ...
A dual-branch and dual attention transformer and CNN hybrid ...
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Sep 27, 2024 · We propose DDTransUNet, a hybrid network combining Transformer and CNN, with a dual-branch encoder and dual attention mechanism for ultrasound image ...
Missing: TransV- | Show results with:TransV-
The proposed MRDB can effectively improve thyroid nodule segmentation accuracy and has great potential for clinical applications.
Oct 21, 2020 · This work presents a novel deep learning method to combine segmentation and motion tracking in 4D echocardiography.
A Combined Fully Convolutional Networks and Deformable Model for Automatic Left Ventricle Segmentation Based on 3D Echocardiography.