Semantic context‐aware attention UNET for lung cancer segmentation and classification
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22837
Abstract: Lung cancer is a serious type of cancer, leading to increased mortality to death in both men and women as the symptoms are noticed only at later stages. Life span of individuals' may be extended… read more here.
Keywords: lung cancer; lung; context aware; aware attention ... See more keywords
Adversarial Neural Network with Sentiment-Aware Attention for Detecting Adverse Drug Reactions.
Sign Up to like & getrecommendations! Published in 2021 at "Journal of biomedical informatics"
DOI: 10.1016/j.jbi.2021.103896
Abstract: Adverse drug reaction (ADR) detection is an important issue in drug safety. ADRs are health threats caused by medication. Identifying ADRs in a timely manner can reduce harm to patients and can also assist doctors… read more here.
Keywords: social media; aware attention; sentiment aware; sentiment ... See more keywords
Influence-Aware Attention Networks for Anomaly Detection in Surveillance Videos
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3148392
Abstract: Detecting anomalies in videos is a fundamental issue in public security. The majority of existing deep learning methods often perform anomaly detection based on the behavior or the trajectory of a single target. However, due… read more here.
Keywords: attention; influence aware; anomaly detection; aware attention ... See more keywords
Complementarity-Aware Attention Network for Salient Object Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2020.2988093
Abstract: In this article, we tackle the saliency detection task from an interesting perspective: we focus both on salient regions (or foreground) detection and nonsalient regions (or background) detection instead of only the foreground and propose… read more here.
Keywords: attention network; complementarity aware; aware attention; attention ... See more keywords
Local and Global Structure for Urban ALS Point Cloud Semantic Segmentation with Ground-Aware Attention
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3158362
Abstract: Interpretation of airborne laser scanning (ALS) point clouds plays a notably role in geo-information production. As a critical step for interpretation, accurate semantic segmentation can considerably broaden various applications of ALS data. However, most existing… read more here.
Keywords: als point; ground aware; segmentation; aware attention ... See more keywords
PA²Net: Period-Aware Attention Network for Robust Fetal ECG Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3189742
Abstract: The noninvasive fetal ECG (FECG) is used to monitor fetal well-being at prenatal and intrapartum. However, it is challenging to detect the FECG signal from the abdominal electrocardiogram (ECG) due to the following problems: 1)… read more here.
Keywords: attention network; fetal ecg; period aware; aware attention ... See more keywords
Enhanced Semantic Representation Learning for Sarcasm Detection by Integrating Context-Aware Attention and Fusion Network
Sign Up to like & getrecommendations! Published in 2023 at "Entropy"
DOI: 10.3390/e25060878
Abstract: Sarcasm is a sophisticated figurative language that is prevalent on social media platforms. Automatic sarcasm detection is significant for understanding the real sentiment tendencies of users. Traditional approaches mostly focus on content features by using… read more here.
Keywords: fusion network; detection; context aware; aware attention ... See more keywords