AIMC Topic: Semantics

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Is the Juice Worth the Squeeze? Learning Curve of a Chest Radiograph Semantic Labeling Deep Learning Model.

Journal of thoracic imaging Oct 13, 2023
Humans Deep Learning Radiographic Image Interpretation, Computer-Assisted Semantics Learning Curve
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Analysis and implementation of the DynDiff tool when comparing versions of ontology.

Journal of biomedical semantics Sep 28, 2023
BACKGROUND: Ontologies play a key role in the management of medical knowledge because they have the properties to support a wide range of knowledge-intensive tasks. The dynamic nature of knowledge requires frequent changes to the ontologies to keep t...
Algorithms Semantics Biological Ontologies Medical Subject Headings
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Extrapolation of affective norms using transformer-based neural networks and its application to experimental stimuli selection.

Behavior research methods Sep 25, 2023
Data on the emotionality of words is important for the selection of experimental stimuli and sentiment analysis on large bodies of text. While norms for valence and arousal have been thoroughly collected in English, most languages do not have access ...
Humans Neural Networks, Computer Language Emotions Semantics Judgment
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Point-wise spatial network for identifying carcinoma at the upper digestive and respiratory tract.

BMC medical imaging Sep 25, 2023
PROBLEM: Artificial intelligence has been widely investigated for diagnosis and treatment strategy design, with some models proposed for detecting oral pharyngeal, nasopharyngeal, or laryngeal carcinoma. However, no comprehensive model has been estab...
Humans Artificial Intelligence Carcinoma Semantics Respiratory System
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Quantifying acute kidney injury in an Ischaemia-Reperfusion Injury mouse model using deep-learning-based semantic segmentation in histology.

Biology open Sep 21, 2023
This study focuses on ischaemia-reperfusion injury (IRI) in kidneys, a cause of acute kidney injury (AKI) and end-stage kidney disease (ESKD). Traditional kidney damage assessment methods are semi-quantitative and subjective. This study aims to use a...
Acute Kidney Injury Animals Deep Learning Mice Disease Models, Animal Reperfusion Injury Semantics Necrosis
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Real-time semantic segmentation and anomaly detection of functional images for cell therapy manufacturing.

Cytotherapy Sep 18, 2023
BACKGROUND AIMS: Cell therapy is a promising treatment method that uses living cells to address a variety of diseases and conditions, including cardiovascular diseases, neurologic disorders and certain cancers. As interest in cell therapy grows, ther...
Machine Learning Image Processing, Computer-Assisted Semantics
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RepCo: Replenish sample views with better consistency for contrastive learning.

Neural networks : the official journal of the International Neural Network Society Sep 11, 2023
Contrastive learning methods aim to learn shared representations by minimizing distances between positive pairs, and maximizing distances between negative pairs in the embedding space. To achieve better performance of contrastive learning, one of the...
Neural Networks, Computer Learning Semantics
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Semantic-Aware Contrastive Learning for Multi-Object Medical Image Segmentation.

IEEE journal of biomedical and health informatics Sep 6, 2023
Medical image segmentation, or computing voxel-wise semantic masks, is a fundamental yet challenging task in medical imaging domain. To increase the ability of encoder-decoder neural networks to perform this task across large clinical cohorts, contra...
Humans Neural Networks, Computer Machine Learning Image Processing, Computer-Assisted Diagnostic Imaging Datasets as Topic Semantics
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Robust Prototypical Few-Shot Organ Segmentation With Regularized Neural-ODEs.

IEEE transactions on medical imaging Aug 31, 2023
Despite the tremendous progress made by deep learning models in image semantic segmentation, they typically require large annotated examples, and increasing attention is being diverted to problem settings like Few-Shot Learning (FSL) where only a sma...
Neural Networks, Computer Image Processing, Computer-Assisted Semantics
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A scoping review on multimodal deep learning in biomedical images and texts.

Journal of biomedical informatics Aug 29, 2023
OBJECTIVE: Computer-assisted diagnostic and prognostic systems of the future should be capable of simultaneously processing multimodal data. Multimodal deep learning (MDL), which involves the integration of multiple sources of data, such as images an...
Diagnosis, Computer-Assisted Deep Learning Natural Language Processing Diagnostic Imaging Semantics
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