Single image super-resolution via multi-scale residual channel attention network
Sign Up to like & getrecommendations! Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.05.066
Abstract: Abstract Recently, various convolutional neural networks (CNNs) based single image super-resolution (SR) methods have been vigorously explored, and a lot of impressive results have emerged. However, more or less unfortunately, most of the methods mainly… read more here.
Keywords: scale residual; channel attention; multi scale; network ... See more keywords
Three-dimensional residual channel attention networks denoise and sharpen fluorescence microscopy image volumes.
Sign Up to like & getrecommendations! Published in 2021 at "Nature methods"
DOI: 10.1038/s41592-021-01155-x
Abstract: We demonstrate residual channel attention networks (RCAN) for the restoration and enhancement of volumetric time-lapse (four-dimensional) fluorescence microscopy data. First we modify RCAN to handle image volumes, showing that our network enables denoising competitive with… read more here.
Keywords: resolution; image; microscopy; attention networks ... See more keywords
Gearbox fault diagnosis method based on lightweight channel attention mechanism and transfer learning
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-023-50826-6
Abstract: In practical engineering, the working conditions of gearbox are complex and variable. In varying working conditions, the performance of intelligent fault diagnosis model is degraded because of limited valid samples and large data distribution differences… read more here.
Keywords: channel attention; transfer learning; fault diagnosis; gearbox fault ... See more keywords
QualityNet: A multi-stream fusion framework with spatial and channel attention for blind image quality assessment
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-77076-4
Abstract: This study introduces a novel Blind Image Quality Assessment (BIQA) approach leveraging a multi-stream spatial and channel attention model. Our method addresses challenges posed by diverse image content and distortions by integrating feature maps from… read more here.
Keywords: channel attention; image; image quality; spatial channel ... See more keywords
An efficient surface electromyography-based gesture recognition algorithm based on multiscale fusion convolution and channel attention
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-81369-z
Abstract: In the field of rehabilitation, although deep learning have been widely used in multitype gesture recognition via surface electromyography (sEMG), their higher algorithmic complexity often leads to low computationally inefficient, which compromise their practicality. To… read more here.
Keywords: channel attention; recognition; gesture; gesture recognition ... See more keywords
Neural network pruning based on channel attention mechanism
Sign Up to like & getrecommendations! Published in 2022 at "Connection Science"
DOI: 10.1080/09540091.2022.2111405
Abstract: Network pruning facilitates the deployment of convolutional neural networks in resource-limited environments by reducing redundant parameters. However, most of the existing methods ignore the differences in the contributions of the output feature maps. In response… read more here.
Keywords: network pruning; attention mechanism; channel attention;
A deep residual inception network with channel attention modules for multi-label cardiac abnormality detection from reduced-lead ECG
Sign Up to like & getrecommendations! Published in 2022 at "Physiological Measurement"
DOI: 10.1088/1361-6579/ac6f40
Abstract: Objective. Most arrhythmias due to cardiovascular diseases alter the heart’s electrical activity, resulting in morphological alterations in electrocardiogram (ECG) recordings. ECG acquisition is a low-cost, non-invasive process and is commonly used for continuous monitoring as… read more here.
Keywords: inception; network; lead ecg; channel attention ... See more keywords
CAMIL: channel attention-based multiple instance learning for whole slide image classification
Sign Up to like & getrecommendations! Published in 2025 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btaf024
Abstract: Abstract Motivation The classification task based on whole-slide images (WSIs) is a classic problem in computational pathology. Multiple instance learning (MIL) provides a robust framework for analyzing whole slide images with slide-level labels at gigapixel… read more here.
Keywords: classification; whole slide; channel attention; instance ... See more keywords
FCA-Net: Adversarial Learning for Skin Lesion Segmentation Based on Multi-Scale Features and Factorized Channel Attention
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2940418
Abstract: Skin lesion segmentation in dermoscopic images is still a challenge due to the low contrast and fuzzy boundaries of lesions. Moreover, lesions have high similarity with the healthy regions in terms of appearance. In this… read more here.
Keywords: lesion segmentation; lesion; channel attention; skin lesion ... See more keywords
Unpaired Stain Style Transfer Using Invertible Neural Networks Based on Channel Attention and Long-Range Residual
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3051188
Abstract: Hematoxylin and eosin (H&E) stained colors is a critical step in the digitized pathological diagnosis of cancer. However, differences in section preparations, staining protocols and scanner specifications may result in the variations of stain colors… read more here.
Keywords: channel attention; stain style; transfer; attention long ... See more keywords
MPCNet: Improved MeshSegNet Based on Position Encoding and Channel Attention
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3254206
Abstract: In the process of orthodontic treatment, it is a very important step to accurately segment each tooth and jaw model with computer assistance. The use of deep learning technology methods for tooth segmentation can not… read more here.
Keywords: mpcnet; segmentation; tooth segmentation; channel attention ... See more keywords