AIMC Topic: Semantics

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DeepGraFT: A novel semantic segmentation auxiliary ROI-based deep learning framework for effective fundus tessellation classification.

Computers in biology and medicine Dec 23, 2023
Fundus tessellation (FT) is a prevalent clinical feature associated with myopia and has implications in the development of myopic maculopathy, which causes irreversible visual impairment. Accurate classification of FT in color fundus photo can help p...
Humans Algorithms Deep Learning Fundus Oculi Semantics Machine Learning
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Hierarchical attention-guided multiscale aggregation network for infrared small target detection.

Neural networks : the official journal of the International Neural Network Society Dec 22, 2023
All man-made flying objects in the sky, ships in the ocean can be regarded as small infrared targets, and the method of tracking them has been received widespread attention in recent years. In search of a further efficient method for infrared small t...
Semantics Recognition, Psychology Image Processing, Computer-Assisted Humans Neural Networks, Computer
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The PACIFIC ontology for heterogeneous data management in cardiology.

Journal of biomedical informatics Dec 20, 2023
With the emergence of health data warehouses and major initiatives to collect and analyze multi-modal and multisource data, data organization becomes central. In the PACIFIC-PRESERVED (PhenomApping, ClassIFication, and Innovation for Cardiac Dysfunct...
Clinical Studies as Topic Semantics Heart Failure Cardiology Palliative Care Biological Ontologies Humans Data Management Stroke Volume
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Drug Repositioning Based on Deep Sparse Autoencoder and Drug-Disease Similarity.

Interdisciplinary sciences, computational life sciences Dec 16, 2023
Drug repositioning is critical to drug development. Previous drug repositioning methods mainly constructed drug-disease heterogeneous networks to extract drug-disease features. However, these methods faced difficulty when we are using structurally si...
Semantics Algorithms Neural Networks, Computer Drug Repositioning Computational Biology
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End-To-End Deep Neural Network for Salient Object Detection in Complex Environments.

Journal of visualized experiments : JoVE Dec 15, 2023
Salient object detection has emerged as a burgeoning area of interest within the realm of computer vision. However, prevailing algorithms exhibit diminished precision when tasked with detecting salient objects within intricate and multifaceted enviro...
Semantics Visual Perception Neural Networks, Computer Algorithms
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Meta-structure-based graph attention networks.

Neural networks : the official journal of the International Neural Network Society Dec 14, 2023
Due to the ubiquity of graph-structured data, Graph Neural Network (GNN) have been widely used in different tasks and domains and good results have been achieved in tasks such as node classification and link prediction. However, there are still many ...
Neural Networks, Computer Software Learning Semantics
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Deep learning-based idiomatic expression recognition for the Amharic language.

PloS one Dec 14, 2023
Idiomatic expressions are built into all languages and are common in ordinary conversation. Idioms are difficult to understand because they cannot be deduced directly from the source word. Previous studies reported that idiomatic expression affects m...
Deep Learning Semantics Machine Learning Neural Networks, Computer Language
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AI and semantic ontology for personalized activity eCoaching in healthy lifestyle recommendations: a meta-heuristic approach.

BMC medical informatics and decision making Dec 1, 2023
BACKGROUND: Automated coaches (eCoach) can help people lead a healthy lifestyle (e.g., reduction of sedentary bouts) with continuous health status monitoring and personalized recommendation generation with artificial intelligence (AI). Semantic ontol...
Humans Artificial Intelligence Information Storage and Retrieval Semantics Heuristics Algorithms
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Predicting Tacit Coordination Success Using Electroencephalogram Trajectories: The Impact of Task Difficulty.

Sensors (Basel, Switzerland) Nov 29, 2023
In this study, we aim to develop a machine learning model to predict the level of coordination between two players in tacit coordination games by analyzing the similarity of their spatial EEG features. We present an analysis, demonstrating the model'...
Algorithms Brain Machine Learning Humans Semantics Electroencephalography
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LM-Net: A light-weight and multi-scale network for medical image segmentation.

Computers in biology and medicine Nov 23, 2023
Current medical image segmentation approaches have limitations in deeply exploring multi-scale information and effectively combining local detail textures with global contextual semantic information. This results in over-segmentation, under-segmentat...
Semantics Neural Networks, Computer Image Processing, Computer-Assisted
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