HeCapsNet: An enhanced capsule network for automated heel disease diagnosis using lateral foot X‐Ray images
Sign Up to like & getrecommendations! Published in 2024 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.23084
Abstract: Foot pain, particularly caused by heel spurs and Sever's disease, significantly impacts mobility and daily activities for many people. These diseases are traditionally diagnosed by orthopedic specialists using X‐ray images of the lateral foot. In… read more here.
Keywords: capsule network; heel; lateral foot; foot ... See more keywords
Capsule network approach for monkeypox (CAPSMON) detection and subclassification in medical imaging system
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-87993-7
Abstract: In response to the pressing need for the detection of Monkeypox caused by the Monkeypox virus (MPXV), this study introduces the Enhanced Spatial-Awareness Capsule Network (ESACN), a Capsule Network architecture designed for the precise multi-class… read more here.
Keywords: detection; monkeypox; capsule network; capsule ... See more keywords
A general generative adversarial capsule network for hyperspectral image spectral-spatial classification
Sign Up to like & getrecommendations! Published in 2019 at "Remote Sensing Letters"
DOI: 10.1080/2150704x.2019.1681598
Abstract: ABSTRACT A novel generative adversarial capsule network (Caps-GAN) model for hyperspectral image spectral-spatial classification is proposed in this Letter, which can effectively solve the scarce availability problem of annotated samples and improve classification performance. In… read more here.
Keywords: adversarial capsule; classification; capsule network; generative adversarial ... See more keywords
EFLightCaps: an efficient feature-focused lightweight capsule network with frequency-domain regularization for rotating machinery fault diagnosis
Sign Up to like & getrecommendations! Published in 2025 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/adb50d
Abstract: The prevalent issues of small samples and heavy noise in industrial settings have severely limited the application effectiveness of intelligent diagnostic methods. To address these challenges, an efficient feature-focused lightweight capsule network is proposed. Firstly,… read more here.
Keywords: lightweight capsule; feature focused; capsule network; focused lightweight ... See more keywords
Galaxy morphology classification using multiscale convolution capsule network
Sign Up to like & getrecommendations! Published in 2023 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/stad854
Abstract: Classification of galaxy morphology is a hot issue in astronomical research. Although significant progress has been made in the last decade in classifying galaxy morphology using deep learning technology, there are still some deficiencies in… read more here.
Keywords: classification; capsule network; galaxy morphology;
CapSurv: Capsule Network for Survival Analysis With Whole Slide Pathological Images
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2901049
Abstract: Survival analysis is a branch of statistics to analyze the time duration that is expected until some events of interest happen, like the death in the organisms of biology. Currently, survival analysis based on pathological… read more here.
Keywords: whole slide; survival analysis; slide pathological; pathological images ... See more keywords
Abnormality Detection in Musculoskeletal Radiographs Using Capsule Network
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2923008
Abstract: To treat the diseases or injuries of the joints, bones, muscles, and spine in both adult and pediatric imaging the musculoskeletal radiographs bring a significant depth of expertise. Abnormality detection in the musculoskeletal study is… read more here.
Keywords: musculoskeletal radiographs; abnormality detection; capsule network;
A Quaternion-Embedded Capsule Network Model for Knowledge Graph Completion
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2997177
Abstract: Knowledge graphs are collections of factual triples. Link prediction aims to predict lost factual triples in knowledge graphs. In this paper, we present a novel capsule network method for link prediction taking advantages of quaternion.… read more here.
Keywords: model; knowledge graphs; knowledge; capsule network ... See more keywords
Enhancing Aspect-Based Sentiment Analysis With Capsule Network
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DOI: 10.1109/access.2020.2997675
Abstract: Existing feature-based neural approaches for aspect-based sentiment analysis (ABSA) try to improve their performance with pre-trained word embeddings and by modeling the relations between the text sequence and the aspect (or category), thus heavily depending… read more here.
Keywords: aspect based; based sentiment; aspect; capsule network ... See more keywords
Crowd Density Estimation by Using Attention Based Capsule Network and Multi-Column CNN
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3081529
Abstract: We propose a strategy that focuses on estimating the number of people in a crowd, one of the aims of crowd analysis, using static images or video images. While manual feature extraction was not performed… read more here.
Keywords: attention; density; capsule; estimation ... See more keywords
Cow face recognition for a small sample based on Siamese DB Capsule Network
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3182806
Abstract: Dairy cow face recognition using Neural Networks has several hurdles. For example, there are only a few instances of each individual. The positions and angles of the individuals in the image fluctuate considerably, the differences… read more here.
Keywords: capsule network; network; recognition; cow face ... See more keywords