Pulmonary nodules detection based on multi-scale attention networks
Sign Up to like & getrecommendations! Published in 2022 at "Scientific Reports"
DOI: 10.1038/s41598-022-05372-y
Abstract: Pulmonary nodules are the main manifestation of early lung cancer. Therefore, accurate detection of nodules in CT images is vital for lung cancer diagnosis. A 3D automatic detection system of pulmonary nodules based on multi-scale… read more here.
Keywords: pulmonary nodules; multi scale; detection; scale attention ... See more keywords
Multi-scale attention network (MSAN) for track circuits fault diagnosis
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-59711-2
Abstract: As one of the three major outdoor components of the railroad signal system, the track circuit plays an important role in ensuring the safety and efficiency of train operation. Therefore, when a fault occurs, the… read more here.
Keywords: multi scale; track; fault diagnosis; scale attention ... See more keywords
Training ESRGAN with multi-scale attention U-Net discriminator
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-78813-5
Abstract: In this paper, we propose MSA-ESRGAN, a novel super-resolution model designed to enhance the perceptual quality of images. The key innovation of our approach lies in the integration of a multi-scale attention U-Net discriminator, which… read more here.
Keywords: quality; scale attention; msa esrgan; attention net ... See more keywords
A graph neural network recommendation algorithm based on multi-scale attention and contrastive learning
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DOI: 10.1038/s41598-025-17925-y
Abstract: When facing sparse user–item interaction data, recommendation systems often struggle to learn high-quality representations, which in turn affects the recommendation performance. To address this issue, this paper proposes a graph neural network-based recommendation algorithm with… read more here.
Keywords: multi scale; recommendation; contrastive learning; scale attention ... See more keywords
A paired multi-scale attention network for liver tumor segmentation in 99mTc-MAA SPECT/CT imaging
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DOI: 10.1038/s41598-025-94195-8
Abstract: Automatic liver tumor segmentation using Single-Photon Emission Computed Tomography/Computed Tomography (SPECT/CT) provides detailed insights that facilitate accurate tumor targeting and effective treatment planning. However, challenges such as spill-out can distort tumor size, which complicates accurate… read more here.
Keywords: tumor segmentation; scale attention; liver tumor; multi scale ... See more keywords
Multi-scale attention-based xLSTM for rolling bearing fault diagnosis
Sign Up to like & getrecommendations! Published in 2025 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/add953
Abstract: In modern industrial manufacturing, the condition monitoring of rolling bearings is vital for ensuring the reliable operation of mechanical systems. However, existing deep learning approaches often struggle to effectively capture the complex characteristics of bearing… read more here.
Keywords: module; scale attention; multi scale; fault diagnosis ... See more keywords
MSAENet: a multi-scale attention edge network for defect detection in strip steel surface defects
Sign Up to like & getrecommendations! Published in 2025 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/adf500
Abstract: In recent years, surface defect detection technology for strip steel based on salient object detection (SOD) has attracted growing attention from researchers. However, the task remains challenging due to diverse defect types, complex patterns, and… read more here.
Keywords: detection; scale attention; edge; multi scale ... See more keywords
MA-Net: A Multi-Scale Attention Network for Liver and Tumor Segmentation
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3025372
Abstract: Automatic assessing the location and extent of liver and liver tumor is critical for radiologists, diagnosis and the clinical process. In recent years, a large number of variants of U-Net based on Multi-scale feature fusion… read more here.
Keywords: attention; segmentation; multi scale; liver tumor ... See more keywords
Multi-Scale Attention Network for Diabetic Retinopathy Classification
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3070685
Abstract: Diabetic Retinopathy (DR) is a highly prevalent complication of diabetes mellitus, which causes lesions on the retina that affect vision which may lead to blindness if it is not detected and diagnosed early. Convolutional neural… read more here.
Keywords: multi scale; level; scale attention; classification ... See more keywords
Multi-Scale Attention and Structural Relation Graph for Local Feature Matching
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DOI: 10.1109/access.2022.3215168
Abstract: Building a dense correspondence between two images is a fundamental vision problem. Most existing methods use local features, but global features cannot be ignored. Local features are often not enough to disambiguate similar regions without… read more here.
Keywords: multi scale; scale attention; structural relation; feature ... See more keywords
COVID Detection From Chest X-Ray Images Using Multi-Scale Attention
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2022.3151171
Abstract: Deep learning based methods have shown great promise in achieving accurate automatic detection of Coronavirus Disease (covid) - 19 from Chest X-Ray (cxr) images.However, incorporating explainability in these solutions remains relatively less explored. We present… read more here.
Keywords: multi scale; scale attention; covid; detection ... See more keywords