CHANNEL-ATTENTION DENSE U-NET FOR MULTICHANNEL SPEECH ENHANCEMENT Bahareh Tolooshams1, Ritwik Giri2, Andrew H. Song3, Umut Isik2, and Arvindh Krishnaswamy2 1School of Engineering and Applied Science…
Since deep learning is introduced to medical image segmentation, UNet and its variants have been extensively applied in medical image analysis. This paper proposes a multi-scale channel attention UNet (MSCA-UNet) to raise the accuracy of the segmentation in medical ultrasound images. Specifically, a...
Since deep learning is introduced to medical image segmentation, UNet and its variants have been extensively applied in medical image analysis. This paper proposes a multi-scale channel attention UNet (MSCA-UNet) to raise the accuracy of the segmentation in medical ultrasound images. Specifically, a...
Aiming at the problem of poor segmentation of liver and liver tumors, this paper proposes an Eres-UNet++ network combining a high-efficiency channel attention module and Res-UNet++ to realize end-to-end automatic segmentation. Firstly, a context-aware feature encoder is designed, which combines ...
In this paper, we introduce a lightweight Spatial-Channel-Attention-based network for efficient medical image segmentation, named SCA-InceptionUNeXt. Our model is built on a U-shaped architecture and incorporates two key innovations: a modified InceptionNeXt block and a novel Spatial-aware Channel ...
Regardless of channel or spatial attention, it cannot independently extract all global information until a complicated model is used. Furthermore, it affects the run-time. However trading in this contradiction is challenging. In this study, a new lane identification model that combines channel and ...
Recently channel attention mechanism playing a major role in improving the performance of deep convolution neural networks. Even though there is an improvement in the performance, but there is an increase in complexity of the model network. It is difficult for CNN alone to correctly model the long...
Ren, Y., Yu, Y. & Guan, H. DA-CapsUNet: A dual-attention capsule U-net for road extraction from remote sensing imagery.Remote Sens.12, 2866 (2020). ArticleADSGoogle Scholar Huang, X., Chen, H. & Gong, J. Angular difference feature extraction for urban scene classification using ZY...
Recently, channel attention mechanism has been shown to improve the performance of CNN. As shown in Fig. 2c, the specific attentional module denoted as a red rectangle is applied after the final 1 × 1 kernel to enhance the representational power of the network. One of these methods is the...
This paper presents OCDet, an object detection model with channel attention, which achieves comprehensive detection of CD3, CD8, and CD20 positive lymphocytes in immunohistochemical pathology slides, and neutrophils and polyploid giant cancer cells in H&E slides of ovarian cancer. OCDet, utilizing CSP...