MGMFormer: Multi‐Scale Attentional Medical Image Segmentation Network for Semantic Feature Enhancement
Sign Up to like & getrecommendations! Published in 2025 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.70086
Abstract: Multi‐scale feature extraction is important for the accurate segmentation of different lesion areas. In order to solve the problem of false cut and missing cut in practical applications due to the difficulty of extracting semantic… read more here.
Keywords: segmentation; multi scale; feature enhancement; network ... See more keywords
Enhancing product concept image generation through semantic feature prompts and LoRA training
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-24600-9
Abstract: This paper proposes an innovative strategy that integrates fine-grained semantic feature decoding with Low-Rank Adaptation (LoRA) fine-tuning model training to significantly improve the performance of text-to-image technology, addressing the limitations of current Generative Artificial Intelligence… read more here.
Keywords: feature prompts; product; image; semantic feature ... See more keywords
What Matters in Semantic Feature Analysis: Practice-Related Predictors of Treatment Response in Aphasia.
Sign Up to like & getrecommendations! Published in 2018 at "American journal of speech-language pathology"
DOI: 10.1044/2017_ajslp-16-0196
Abstract: Purpose This study investigated the predictive value of practice-related variables-number of treatment trials delivered, total treatment time, average number of trials per hour, and average number of participant-generated features per trial-in response to semantic feature… read more here.
Keywords: response; treatment; semantic feature; practice related ... See more keywords
Universal semantic feature extraction from EEG signals: a task-independent framework
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Neural Engineering"
DOI: 10.1088/1741-2552/add08f
Abstract: Objective. Extracting universal, task-independent semantic features from electroencephalography (EEG) signals remains an open challenge. Traditional approaches are often task-specific, limiting their generalization across different EEG paradigms. This study aims to develop a robust, unsupervised framework… read more here.
Keywords: eeg signals; task independent; framework; semantic feature ... See more keywords
SFM-Net: Semantic Feature-Based Multi-Stage Network for Unsupervised Image Registration
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2024.3524361
Abstract: It is difficult for general registration methods to establish the fine correspondence between images with complex anatomical structures. To overcome the above problem, this work presents SFM-Net, an unsupervised multi-stage semantic feature-based network. In addition… read more here.
Keywords: registration; stage; sfm net; network ... See more keywords
MPT-SFANet: Multiorder Pooling Transformer-Based Semantic Feature Aggregation Network for SAR Image Classification
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Aerospace and Electronic Systems"
DOI: 10.1109/taes.2024.3382622
Abstract: The transformer-based methods have demonstrated remarkable advancements in synthetic aperture radar (SAR) classification. Nevertheless, many of these methods ignore global statistical information and semantic feature interaction for effectively characterizing different SAR land covers under complex… read more here.
Keywords: feature aggregation; multiorder pooling; transformer based; pooling transformer ... See more keywords
Unsupervised Spectral-Spatial Semantic Feature Learning for Hyperspectral Image Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3159789
Abstract: Can we automatically learn meaningful semantic feature representations when training labels are absent? Several recent unsupervised deep learning approaches have attempted to tackle this problem by solving the data reconstruction task. However, these methods can… read more here.
Keywords: classification; spectral spatial; feature; semantic feature ... See more keywords
Fake Review Detection and Emotion Recognition Based on Semantic Feature Selection with Bi-Directional Long Short Term Memory
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Engineering and Systems"
DOI: 10.22266/ijies2022.1031.41
Abstract: : Customer reviews has a significant role in sale of the product on the e-commerce website and this influences other customers. The fake review affects the trust between the user and seller in the e-commerce… read more here.
Keywords: review; review detection; semantic feature; fake review ... See more keywords
New Spanish semantic feature production norms for older adults.
Sign Up to like & getrecommendations! Published in 2021 at "Behavior research methods"
DOI: 10.3758/s13428-021-01660-z
Abstract: Semantic feature production norms are a useful tool for researchers to have empirically collected data about the semantic representations of a particular population. As older adults have been shown to have certain differences in their… read more here.
Keywords: feature; semantic feature; older adults; production norms ... See more keywords