Pulmonary nodules detection based on multi-scale attention networks
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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
MA-Net: A Multi-Scale Attention Network for Liver and Tumor Segmentation
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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
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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
An Interpretable Double-Scale Attention Model for Enzyme Protein Class Prediction Based on Transformer Encoders and Multi-Scale Convolutions
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Genetics"
DOI: 10.3389/fgene.2022.885627
Abstract: Background Classification and annotation of enzyme proteins are fundamental for enzyme research on biological metabolism. Enzyme Commission (EC) numbers provide a standard for hierarchical enzyme class prediction, on which several computational methods have been proposed.… read more here.
Keywords: scale attention; prediction; double scale; class prediction ... See more keywords
Rubber Leaf Disease Recognition Based on Improved Deep Convolutional Neural Networks With a Cross-Scale Attention Mechanism
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Plant Science"
DOI: 10.3389/fpls.2022.829479
Abstract: Natural rubber is an essential raw material for industrial products and plays an important role in social development. A variety of diseases can affect the growth of rubber trees, reducing the production and quality of… read more here.
Keywords: rubber leaf; recognition; disease; scale attention ... See more keywords