AIMC Topic: Semantics

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Multi-Ontology Refined Embeddings (MORE): A hybrid multi-ontology and corpus-based semantic representation model for biomedical concepts.

Journal of biomedical informatics Oct 1, 2020
OBJECTIVE: Currently, a major limitation for natural language processing (NLP) analyses in clinical applications is that concepts are not effectively referenced in various forms across different texts. This paper introduces Multi-Ontology Refined Emb...
Semantics Biological Ontologies Medical Subject Headings Humans Cluster Analysis Natural Language Processing
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Machine learning-based radiomic, clinical and semantic feature analysis for predicting overall survival and MGMT promoter methylation status in patients with glioblastoma.

Magnetic resonance imaging Sep 25, 2020
INTRODUCTION: Survival varies in patients with glioblastoma due to intratumoral heterogeneity and radiomics/imaging biomarkers have potential to demonstrate heterogeneity. The objective was to combine radiomic, semantic and clinical features to impro...
Promoter Regions, Genetic DNA Repair Enzymes Tumor Suppressor Proteins Semantics Glioblastoma Survival Analysis DNA Modification Methylases Female Aged Adult Humans Machine Learning Image Processing, Computer-Assisted Retrospective Studies Brain Neoplasms Magnetic Resonance Imaging Male DNA Methylation Middle Aged
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Multi-label zero-shot learning with graph convolutional networks.

Neural networks : the official journal of the International Neural Network Society Sep 21, 2020
The goal of zero-shot learning (ZSL) is to build a classifier that recognizes novel categories with no corresponding annotated training data. The typical routine is to transfer knowledge from seen classes to unseen ones by learning a visual-semantic ...
Humans Neural Networks, Computer Machine Learning Semantics Pattern Recognition, Automated
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Fully automated body composition analysis in routine CT imaging using 3D semantic segmentation convolutional neural networks.

European radiology Sep 18, 2020
OBJECTIVES: Body tissue composition is a long-known biomarker with high diagnostic and prognostic value not only in cardiovascular, oncological, and orthopedic diseases but also in rehabilitation medicine or drug dosage. In this study, the aim was to...
Body Composition Semantics Humans Neural Networks, Computer Tomography, X-Ray Computed Image Processing, Computer-Assisted Abdomen
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Simple low-cost approaches to semantic segmentation in radiation therapy planning for prostate cancer using deep learning with non-contrast planning CT images.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Sep 17, 2020
PURPOSE: Deep learning has shown great efficacy for semantic segmentation. However, there are difficulties in the collection, labeling and management of medical imaging data, because of ethical complications and the limited number of imaging studies ...
Semantics Deep Learning Image Processing, Computer-Assisted Prostatic Neoplasms Humans Tomography, X-Ray Computed Male
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Hybrid Attention Network for Language-Based Person Search.

Sensors (Basel, Switzerland) Sep 15, 2020
Language-based person search retrieves images of a target person using natural language description and is a challenging fine-grained cross-modal retrieval task. A novel hybrid attention network is proposed for the task. The network includes the foll...
Natural Language Processing Semantics Neural Networks, Computer Machine Learning Language Humans
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Helping the Blind to Get through COVID-19: Social Distancing Assistant Using Real-Time Semantic Segmentation on RGB-D Video.

Sensors (Basel, Switzerland) Sep 12, 2020
The current COVID-19 pandemic is having a major impact on our daily lives. Social distancing is one of the measures that has been implemented with the aim of slowing the spread of the disease, but it is difficult for blind people to comply with this....
Adult Male Wearable Electronic Devices Algorithms Female SARS-CoV-2 Equipment Design Coronavirus Infections Acoustics Computer Systems Image Processing, Computer-Assisted Robotics Humans Artificial Intelligence Pandemics COVID-19 Physical Distancing Persons with Visual Disabilities Sensory Aids Semantics Germany Blindness Smart Glasses Color Vision Betacoronavirus Pneumonia, Viral
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Ontological approach to the knowledge systematization of a toxic process and toxic course representation framework for early drug risk management.

Scientific reports Sep 3, 2020
Various types of drug toxicity can halt the development of a drug. Because drugs are xenobiotics, they inherently have the potential to cause injury. Clarifying the mechanisms of toxicity to evaluate and manage drug safety during drug development is ...
Semantics Biological Ontologies Database Management Systems Risk Management Pharmaceutical Preparations Drug-Related Side Effects and Adverse Reactions Humans Drug Development
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Parallelograms revisited: Exploring the limitations of vector space models for simple analogies.

Cognition Aug 31, 2020
Classic psychological theories have demonstrated the power and limitations of spatial representations, providing geometric tools for reasoning about the similarity of objects and showing that human intuitions sometimes violate the constraints of geom...
Problem Solving Space Simulation Humans Machine Learning Semantics
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Knowledge-Based Decision Support in Healthcare via Near Field Communication.

Sensors (Basel, Switzerland) Aug 31, 2020
The benefits of automatic identification technologies in healthcare have been largely recognized. Nevertheless, unlocking their potential to support the most knowledge-intensive medical tasks requires to go beyond mere item identification. This paper...
Decision Support Techniques Delivery of Health Care Communication Knowledge Bases Humans Semantics Home Care Services
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