AIMC Topic: Semantics

Clear Filters Showing 471 to 480 of 1420 articles

Achieving Inclusivity by Design: Social and Contextual Information in Medical Knowledge.

Yearbook of medical informatics Jun 2, 2022
OBJECTIVES: To select, present, and summarize the most relevant papers published in 2020 and 2021 in the field of Knowledge Representation and Knowledge Management, Medical Vocabularies and Ontologies, with a particular focus on health inclusivity an...
Artificial Intelligence Delivery of Health Care Semantics Knowledge Management
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Deep Learning Based Real-Time Semantic Segmentation of Cerebral Vessels and Cranial Nerves in Microvascular Decompression Scenes.

Cells Jun 2, 2022
Automatic extraction of cerebral vessels and cranial nerves has important clinical value in the treatment of trigeminal neuralgia (TGN) and hemifacial spasm (HFS). However, because of the great similarity between different cerebral vessels and betwee...
Humans Deep Learning Cranial Nerves Semantics Hemifacial Spasm Microvascular Decompression Surgery
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Deep Graph Learning for Anomalous Citation Detection.

IEEE transactions on neural networks and learning systems Jun 1, 2022
Anomaly detection is one of the most active research areas in various critical domains, such as healthcare, fintech, and public security. However, little attention has been paid to scholarly data, that is, anomaly detection in a citation network. Cit...
Neural Networks, Computer Algorithms Learning Data Mining Semantics
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A Data-Adaptive Loss Function for Incomplete Data and Incremental Learning in Semantic Image Segmentation.

IEEE transactions on medical imaging Jun 1, 2022
In the last years, deep learning has dramatically improved the performances in a variety of medical image analysis applications. Among different types of deep learning models, convolutional neural networks have been among the most successful and they...
Neural Networks, Computer Deep Learning Image Processing, Computer-Assisted Diagnostic Imaging Semantics
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Hierarchical Attention Neural Network for Event Types to Improve Event Detection.

Sensors (Basel, Switzerland) May 31, 2022
Event detection is an important task in the field of natural language processing, which aims to detect trigger words in a sentence and classify them into specific event types. Event detection tasks suffer from data sparsity and event instances imbala...
Neural Networks, Computer Language Natural Language Processing Semantics
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Robust deep learning-based semantic organ segmentation in hyperspectral images.

Medical image analysis May 27, 2022
Semantic image segmentation is an important prerequisite for context-awareness and autonomous robotics in surgery. The state of the art has focused on conventional RGB video data acquired during minimally invasive surgery, but full-scene semantic seg...
Neural Networks, Computer Animals Swine Deep Learning Image Processing, Computer-Assisted Semantics
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Application of Adaptive Neural Network Algorithm Model in English Text Analysis.

Computational intelligence and neuroscience May 26, 2022
Based on the existing optimization neural network algorithm, this paper introduces a simple and computationally efficient adaptive mechanism (adaptive exponential decay rate). By applying the adaptive mechanism to the Adadelta algorithm, it can be se...
Neural Networks, Computer Algorithms Language Semantics Generalization, Psychological
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A Graph-Related High-Order Neural Network Architecture via Feature Aggregation Enhancement for Identification Application of Diseases and Pests.

Computational intelligence and neuroscience May 26, 2022
Diseases and pests are essential threat factors that affect agricultural production, food security supply, and ecological plant diversity. However, the accurate recognition of various diseases and pests is still challenging for existing advanced info...
Neural Networks, Computer Data Collection Semantics
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Multi-layer pseudo-supervision for histopathology tissue semantic segmentation using patch-level classification labels.

Medical image analysis May 24, 2022
Tissue-level semantic segmentation is a vital step in computational pathology. Fully-supervised models have already achieved outstanding performance with dense pixel-level annotations. However, drawing such labels on the giga-pixel whole slide images...
Humans Image Processing, Computer-Assisted Supervised Machine Learning Semantics
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A Novel Keyword Generation Model Based on Topic-Aware and Title-Guide.

Computational intelligence and neuroscience May 23, 2022
Keywords are usually one or more words or phrases that describe the subject information of the document. The traditional automatic keywords extraction methods cannot obtain the keywords which do not appear in the document, and the semantic informatio...
Neural Networks, Computer Semantics
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