AIMC Topic: Semantics

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Cognitive decline assessment using semantic linguistic content and transformer deep learning architecture.

International journal of language & communication disorders Nov 16, 2023
BACKGROUND: Dementia is a cognitive decline that leads to the progressive deterioration of an individual's ability to perform daily activities independently. As a result, a considerable amount of time and resources are spent on caretaking. Early dete...
Cross-Sectional Studies Male Aged, 80 and over Dementia Semantics Cognitive Dysfunction Deep Learning Humans Aged Female
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MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural Networks.

Neural networks : the official journal of the International Neural Network Society Nov 13, 2023
Heterogeneous graph neural networks (HGNNs) were proposed for representation learning on structural data with multiple types of nodes and edges. To deal with the performance degradation issue when HGNNs become deep, researchers combine metapaths into...
Semantics Neural Networks, Computer Learning
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A knowledge graph-based data harmonization framework for secondary data reuse.

Computer methods and programs in biomedicine Nov 10, 2023
BACKGROUND AND OBJECTIVE: The adoption of new technologies in clinical care systems has propitiated the availability of a great amount of valuable data. However, this data is usually heterogeneous, requiring its harmonization to be integrated and ana...
Pattern Recognition, Automated Knowledge Bases Semantics Delivery of Health Care Machine Learning Data Management
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HeNeCOn: An ontology for integrative research in Head and Neck cancer.

International journal of medical informatics Nov 8, 2023
BACKGROUND: Head and Neck Cancer (HNC) has a high incidence and prevalence in the worldwide population. The broad terminology associated with these diseases and their multimodality treatments generates large amounts of heterogeneous clinical data, wh...
Semantics Biological Ontologies Information Storage and Retrieval Head and Neck Neoplasms Humans
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Prompt tuning for parameter-efficient medical image segmentation.

Medical image analysis Nov 7, 2023
Neural networks pre-trained on a self-supervision scheme have become the standard when operating in data rich environments with scarce annotations. As such, fine-tuning a model to a downstream task in a parameter-efficient but effective way, e.g. for...
Image Processing, Computer-Assisted Semantics Neural Networks, Computer Humans
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Filter pruning for convolutional neural networks in semantic image segmentation.

Neural networks : the official journal of the International Neural Network Society Nov 7, 2023
The remarkable performance of Convolutional Neural Networks (CNNs) has increased their use in real-time systems and devices with limited resources. Hence, compacting these networks while preserving accuracy has become necessary, leading to multiple c...
Semantics Artificial Intelligence Algorithms Neural Networks, Computer
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TGDAUNet: Transformer and GCNN based dual-branch attention UNet for medical image segmentation.

Computers in biology and medicine Oct 21, 2023
Accurate and automatic segmentation of medical images is a key step in clinical diagnosis and analysis. Currently, the successful application of Transformers' model in the field of computer vision, researchers have begun to gradually explore the appl...
Neural Networks, Computer Semantics Image Processing, Computer-Assisted Humans Software Skin Neoplasms Problem Solving
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Context-based refinement of mappings in evolving life science ontologies.

Journal of biomedical semantics Oct 19, 2023
BACKGROUND: Biomedical computational systems benefit from ontologies and their associated mappings. Indeed, aligned ontologies in life sciences play a central role in several semantic-enabled tasks, especially in data exchange. It is crucial to maint...
Semantics Biological Science Disciplines Biological Ontologies
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SUnet: A multi-organ segmentation network based on multiple attention.

Computers in biology and medicine Oct 18, 2023
Organ segmentation in abdominal or thoracic computed tomography (CT) images plays a crucial role in medical diagnosis as it enables doctors to locate and evaluate organ abnormalities quickly, thereby guiding surgical planning, and aiding treatment de...
Heart Tomography, X-Ray Computed Neural Networks, Computer Thorax Image Processing, Computer-Assisted Semantics
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AC-PLT: An algorithm for computer-assisted coding of semantic property listing data.

Behavior research methods Oct 13, 2023
In this paper, we present a novel algorithm that uses machine learning and natural language processing techniques to facilitate the coding of feature listing data. Feature listing is a method in which participants are asked to provide a list of featu...
Natural Language Processing Reproducibility of Results Semantics Machine Learning Humans Algorithms
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