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Channel prior convolutional attention for medical image segmentation

Computers in Biology and Medicine
Characteristics such as low contrast and significant organ shape variations are often exhibited in medical images. The improvement of segmentation performance in medical imaging is limited by the generally insufficient adaptive capabilities of existing attention mechanisms. An efficient Channel Prior Convolutional Attention (CPCA) method is proposed in
Hejun Huang   +7 more
openaire   +2 more sources

Mixed local channel attention for object detection

Engineering Applications of Artificial Intelligence, 2023
Dahang Wan, Rongsheng Lu, Xianli Lang
exaly  

Channel Attention Image Steganography With Generative Adversarial Networks

IEEE Transactions on Network Science and Engineering, 2022
Jingxuan Tan, Xin Liao, Yun Cao
exaly  

Wireless Image Transmission Using Deep Source Channel Coding With Attention Modules

IEEE Transactions on Circuits and Systems for Video Technology, 2022
Jialong Xu, Bo Ai, Wei Chen
exaly  

An Attention-Aided Deep Learning Framework for Massive MIMO Channel Estimation

IEEE Transactions on Wireless Communications, 2022
Jiabao Gao   +2 more
exaly  

Adversarial Training with Channel Attention Regularization

2022 IEEE International Conference on Image Processing (ICIP), 2022
Seungju Cho   +4 more
openaire   +1 more source

Interactive channel attention for rotating component fault detection with strong noise and limited data

Applied Soft Computing Journal, 2023
Jianguo Miao, Heng Zhang, Qiang Miao
exaly  

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