AIMC Topic: Semantics

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ICPPNet: A semantic segmentation network model based on inter-class positional prior for scoliosis reconstruction in ultrasound images.

Journal of biomedical informatics Jun 1, 2025
OBJECTIVE: Considering the radiation hazard of X-ray, safer, more convenient and cost-effective ultrasound methods are gradually becoming new diagnostic approaches for scoliosis. For ultrasound images of spine regions, it is challenging to accurately...
Image Processing, Computer-Assisted Spine Semantics Algorithms Ultrasonography Scoliosis Humans Neural Networks, Computer
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Linking Symptom Inventories Using Semantic Textual Similarity.

Journal of neurotrauma Jun 1, 2025
An extensive library of symptom inventories has been developed over time to measure clinical symptoms of traumatic brain injury (TBI), but this variety has led to several long-standing issues. Most notably, results drawn from different settings and s...
Female Adult Male Humans Semantics Deep Learning Brain Injuries, Traumatic
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Advancing hierarchical neural networks with scale-aware pyramidal feature learning for medical image dense prediction.

Computer methods and programs in biomedicine Jun 1, 2025
BACKGROUND AND OBJECTIVE: Hierarchical neural networks are pivotal in medical imaging for multi-scale representation, aiding in tasks such as object detection and segmentation. However, their effectiveness is often limited by the loss of intra-scale ...
Brain Neoplasms Machine Learning Humans Semantics Neural Networks, Computer Diagnostic Imaging Algorithms Image Processing, Computer-Assisted
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Utilizing semantically enhanced self-supervised graph convolution and multi-head attention fusion for herb recommendation.

Artificial intelligence in medicine Jun 1, 2025
Traditional Chinese herbal medicine has long been recognized as an effective natural therapy. Recently, the development of recommendation systems for herbs has garnered widespread academic attention, as these systems significantly impact the applicat...
Medicine, Chinese Traditional Drugs, Chinese Herbal Supervised Machine Learning Neural Networks, Computer Algorithms Semantics Humans
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Information Geometric Approaches for Patient-Specific Test-Time Adaptation of Deep Learning Models for Semantic Segmentation.

IEEE transactions on medical imaging Jun 1, 2025
The test-time adaptation (TTA) of deep-learning-based semantic segmentation models, specific to individual patient data, was addressed in this study. The existing TTA methods in medical imaging are often unconstrained, require anatomical prior inform...
Magnetic Resonance Imaging Semantics COVID-19 Deep Learning Brain Image Processing, Computer-Assisted SARS-CoV-2 Tomography, X-Ray Computed Brain Neoplasms Humans
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TGAP-Net: Twin Graph Attention Pseudo-Label Generation for Weakly Supervised Semantic Segmentation.

IEEE journal of biomedical and health informatics Jun 1, 2025
Multilabel pathological tissue segmentation is a vital task in computational pathology that aims to semantically segment different tissues within pathological images. Fully and weakly supervised models have demonstrated impressive performances in thi...
Humans Supervised Machine Learning Image Interpretation, Computer-Assisted Semantics Algorithms Female
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Improvement of metaphor understanding via a cognitive linguistic model based on hierarchical classification and artificial intelligence SVM.

Scientific reports May 29, 2025
This study aims to enhance computers' ability to understand and generate metaphors, offering a novel perspective and technical approach in the field of natural language processing. It proposes a metaphor recognition algorithm that combines a Convolut...
Humans Metaphor Support Vector Machine Algorithms Natural Language Processing Comprehension Semantics Neural Networks, Computer Language Linguistics Artificial Intelligence Cognition
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A novel approach for multiclass sentiment analysis on Chinese social media with ERNIE-MCBMA.

Scientific reports May 28, 2025
Weibo, one of the most widely used social media platforms in China, sees a vast number of users expressing their opinions and emotional tendencies. Conducting sentiment analysis on Weibo posts using natural language processing techniques is crucial f...
Emotions Social Media Semantics Natural Language Processing Algorithms China Humans Neural Networks, Computer
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Multi-Knowledge Graph and Multi-View Entity Feature Learning for Predicting Drug-Related Side Effects.

Journal of chemical information and modeling May 26, 2025
Computational prediction of potential drug side effects plays a crucial role in reducing health risks for clinical patients and accelerating drug development. Recent methods have constructed heterogeneous graphs that represent drugs and their side ef...
Machine Learning Drug-Related Side Effects and Adverse Reactions Humans Semantics
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Unveiling differential adverse event profiles in vaccines via LLM text embeddings and ontology semantic analysis.

Journal of biomedical semantics May 23, 2025
BACKGROUND: Vaccines are crucial for preventing infectious diseases; however, they may also be associated with adverse events (AEs). Conventional analysis of vaccine AEs relies on manual review and assignment of AEs to terms in terminology or ontolog...
Drug-Related Side Effects and Adverse Reactions Semantics Biological Ontologies Natural Language Processing Vaccines Humans
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