Feb 20, 2023 · We propose a 3D U-shaped Cross-Attention Network (UCA-Net) that utilizes a tailored cross-attention mechanism instead of the traditional skip connection.
When only the CCA module is used, tumor and blood vessel segmentation results are improved by 2.37% and 1.40%, respectively. The cross- attention mechanism can ...
Experimental results show that the proposed UCA-Net can accurately segment 3D medical images and achieve state-of-the-art performance on the liver tumor and ...
In this case, we propose a 3D U-shaped Cross-Attention Network (UCA-Net) that utilizes a tailored cross-attention mechanism instead of the traditional skip ...
People also ask
What is liver tumor segmentation?
What is the most common benign liver tumor that contains vascular channels?
In this case, we propose a 3D U-shaped Cross-Attention Network (UCA-Net) that utilizes a tailored cross-attention mechanism instead of the ...
The light-weight hybrid convolutional network (LW-HCN) is proposed to segment the liver and its tumors in CT volumes and has a encoder-decoder structure.
In this paper, we propose a phase attention network (PA-Net) to adequately aggregate multi-phase information of CT images and improve segmentation performance ...
Missing: Intrahepatic | Show results with:Intrahepatic
May 29, 2023 · Towards simultane- ous segmentation of liver tumors and intrahepatic vessels via cross-attention mechanism. arXiv preprint arXiv:2302.09785 ...
Towards Simultaneous Segmentation Of Liver Tumors And Intrahepatic Vessels Via Cross-Attention Mechanism; Design and Implementation of an Optimized Mask RCNN ...
In this paper, we present a comprehensive review of recent methods for automatic detection, segmentation and classification of liver parenchyma, liver vessels ...
Missing: Intrahepatic | Show results with:Intrahepatic