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- W4214859629 abstract "Catheters and tubes are used in emergency departments and intensive care units to keep severely ill patients alive. The proper catheter or tube placement is essential to avoid serious complications. Such issues can be solved if they are found early. The catheters are usually assessed by chest x-rays. Attention modules have recently demonstrated the benefit of improving spatial encoding in multi-label classification tasks on chest X-ray images. In this paper, we propose a Pre-Activation-Spatial Attention (PAc-SA) module. It improves the spatial attention module for multiple catheters and tubes image classification efficiently. In its computation, the proposed module used BN and ReLU as pre-activations. Experiments on the RANCZR-CLiP dataset show that the proposed PAc-SA module achieves better than others, with the best accuracy score of 94.65% and the highest average precision score of 65.18%, respectively, and reduces the network model parameters." @default.
- W4214859629 created "2022-03-05" @default.
- W4214859629 creator A5015396856 @default.
- W4214859629 creator A5086162791 @default.
- W4214859629 date "2022-01-26" @default.
- W4214859629 modified "2023-10-18" @default.
- W4214859629 title "Pre-Activation - Spatial Attention Module for Multiple Catheters and Tubes Classification" @default.
- W4214859629 doi "https://doi.org/10.1109/ectidamtncon53731.2022.9720402" @default.
- W4214859629 hasPublicationYear "2022" @default.
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