AIMC Topic: Semantics

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Improving burn depth assessment for pediatric scalds by AI based on semantic segmentation of polarized light photography images.

Burns : journal of the International Society for Burn Injuries Feb 8, 2021
This paper illustrates the efficacy of an artificial intelligence (AI) (a convolutional neural network, based on the U-Net), for the burn-depth assessment using semantic segmentation of polarized high-performance light camera images of burn wounds. T...
Humans Neural Networks, Computer Artificial Intelligence Child Photography Burns Semantics
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A deep-learning semantic segmentation approach to fully automated MRI-based left-ventricular deformation analysis in cardiotoxicity.

Magnetic resonance imaging Feb 8, 2021
Left-ventricular (LV) strain measurements with the Displacement Encoding with Stimulated Echoes (DENSE) MRI sequence provide accurate estimates of cardiotoxicity damage related to breast cancer chemotherapy. This study investigated an automated LV ch...
Heart Ventricles Automation Semantics Image Processing, Computer-Assisted Magnetic Resonance Imaging Cardiotoxicity Humans Female Sensitivity and Specificity Breast Neoplasms Deep Learning
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GT-Finder: Classify the family of glucose transporters with pre-trained BERT language models.

Computers in biology and medicine Feb 7, 2021
Recently, language representation models have drawn a lot of attention in the field of natural language processing (NLP) due to their remarkable results. Among them, BERT (Bidirectional Encoder Representations from Transformers) has proven to be a si...
Glucose Semantics Glucose Transport Proteins, Facilitative Language Natural Language Processing
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Within-category representational stability through the lens of manipulable objects.

Cortex; a journal devoted to the study of the nervous system and behavior Feb 5, 2021
Our ability to recognize an object amongst many exemplars is one of our most important features, and one that putatively distinguishes humans from non-human animals and potentially from (current) computational and artificial intelligence models. We c...
Magnetic Resonance Imaging Brain Mapping Semantics Photic Stimulation Pattern Recognition, Visual Temporal Lobe Artificial Intelligence Animals
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Deep Learning With Conformal Prediction for Hierarchical Analysis of Large-Scale Whole-Slide Tissue Images.

IEEE journal of biomedical and health informatics Feb 5, 2021
With the increasing amount of image data collected from biomedical experiments there is an urgent need for smarter and more effective analysis methods. Many scientific questions require analysis of image sub-regions related to some specific biology. ...
Humans Deep Learning Image Processing, Computer-Assisted Semantics
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Discriminative Feature Network Based on a Hierarchical Attention Mechanism for Semantic Hippocampus Segmentation.

IEEE journal of biomedical and health informatics Feb 5, 2021
The morphological analysis of hippocampus is vital to various neurological studies including brain disorders and brain anatomy. To assist doctors in analyzing the shape and volume of the hippocampus, an accurate and automatic hippocampus segmentation...
Image Processing, Computer-Assisted Hippocampus Semantics Neural Networks, Computer Brain
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Neural Encoding and Decoding With Distributed Sentence Representations.

IEEE transactions on neural networks and learning systems Feb 4, 2021
Building computational models to account for the cortical representation of language plays an important role in understanding the human linguistic system. Recent progress in distributed semantic models (DSMs), especially transformer-based methods, ha...
Algorithms Brain Computer Simulation Humans Neural Networks, Computer Temporal Lobe Occipital Lobe Natural Language Processing Semantics Brain-Computer Interfaces Cerebral Cortex Linguistics Reading Deep Learning Image Processing, Computer-Assisted Language Magnetic Resonance Imaging Reproducibility of Results
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Bilateral attention decoder: A lightweight decoder for real-time semantic segmentation.

Neural networks : the official journal of the International Neural Network Society Jan 30, 2021
The encoder-decoder structure has been introduced into semantic segmentation to improve the spatial accuracy of the network by fusing high- and low-level feature maps. However, recent state-of-the-art encoder-decoder-based methods can hardly attain t...
Semantics Pattern Recognition, Automated Machine Learning Spatial Analysis
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Conversational Agents for Chronic Disease Self-Management: A Systematic Review.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
We conducted a systematic literature review to assess how conversational agents have been used to facilitate chronic disease self-management. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework was used. Literatu...
Mental Health Adult Chronic Disease Communication Self-Management Humans Natural Language Processing Self Care Artificial Intelligence Semantics
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A semantic database for integrated management of image and dosimetric data in low radiation dose research in medical imaging.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
Medical ionizing radiation procedures and especially medical imaging are a non negligible source of exposure to patients. Whereas the biological effects of high absorbed doses are relatively well known, the effects of low absorbed doses are still deb...
Database Management Systems Radiation Dosage Radiometry Algorithms Databases, Factual Humans Documentation Natural Language Processing Machine Learning Radiography Semantics Diagnostic Imaging Terminology as Topic Data Mining
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