AIMC Topic: Semantics

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Fully semantic segmentation for rectal cancer based on post-nCRT MRl modality and deep learning framework.

BMC cancer Mar 7, 2024
PURPOSE: Rectal tumor segmentation on post neoadjuvant chemoradiotherapy (nCRT) magnetic resonance imaging (MRI) has great significance for tumor measurement, radiomics analysis, treatment planning, and operative strategy. In this study, we developed...
Magnetic Resonance Imaging Rectal Neoplasms Image Processing, Computer-Assisted Neoadjuvant Therapy Semantics Humans Retrospective Studies Deep Learning
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Latent Graph Representations for Critical View of Safety Assessment.

IEEE transactions on medical imaging Mar 5, 2024
Assessing the critical view of safety in laparoscopic cholecystectomy requires accurate identification and localization of key anatomical structures, reasoning about their geometric relationships to one another, and determining the quality of their e...
Image Processing, Computer-Assisted Semantics Neural Networks, Computer
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Attributed Multi-Order Graph Convolutional Network for Heterogeneous Graphs.

Neural networks : the official journal of the International Neural Network Society Mar 4, 2024
Heterogeneous graph neural networks play a crucial role in discovering discriminative node embeddings and relations from multi-relational networks. One of the key challenges in heterogeneous graph learning lies in designing learnable meta-paths, whic...
Semantics Neural Networks, Computer Learning
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Deep learning for head and neck semi-supervised semantic segmentation.

Physics in medicine and biology Feb 19, 2024
. Radiation therapy (RT) represents a prevalent therapeutic modality for head and neck (H&N) cancer. A crucial phase in RT planning involves the precise delineation of organs-at-risks (OARs), employing computed tomography (CT) scans. Nevertheless, th...
Humans Tomography, X-Ray Computed Head and Neck Neoplasms Organs at Risk Deep Learning Image Processing, Computer-Assisted Semantics
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TFCNet: A texture-aware and fine-grained feature compensated polyp detection network.

Computers in biology and medicine Feb 14, 2024
PURPOSE: Abnormal tissue detection is a prerequisite for medical image analysis and computer-aided diagnosis and treatment. The use of neural networks (CNN) to achieve accurate detection of intestinal polyps is beneficial to the early diagnosis and t...
Neural Networks, Computer Diagnosis, Computer-Assisted Image Processing, Computer-Assisted Semantics
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Using deep neural networks to disentangle visual and semantic information in human perception and memory.

Nature human behaviour Feb 8, 2024
Mental representations of familiar categories are composed of visual and semantic information. Disentangling the contributions of visual and semantic information in humans is challenging because they are intermixed in mental representations. Deep neu...
Recognition, Psychology Mental Recall Facial Recognition Visual Perception Adult Semantics Female Humans Male Neural Networks, Computer Memory Young Adult
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A systematic literature review on the applications of recurrent neural networks in code clone research.

PloS one Feb 2, 2024
Code clones, referring to code fragments that are either similar or identical and are copied and pasted within software systems, have negative effects on both software quality and maintenance. The objective of this work is to systematically review an...
Software Humans Semantics Programming Languages Neural Networks, Computer
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Explaining protein-protein interactions with knowledge graph-based semantic similarity.

Computers in biology and medicine Feb 1, 2024
The application of artificial intelligence and machine learning methods for several biomedical applications, such as protein-protein interaction prediction, has gained significant traction in recent decades. However, explainability is a key aspect of...
Semantics Pattern Recognition, Automated Neural Networks, Computer Artificial Intelligence Machine Learning
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CoVi-Net: A hybrid convolutional and vision transformer neural network for retinal vessel segmentation.

Computers in biology and medicine Jan 29, 2024
Retinal vessel segmentation plays a crucial role in the diagnosis and treatment of ocular pathologies. Current methods have limitations in feature fusion and face challenges in simultaneously capturing global and local features from fundus images. To...
Databases, Factual Semantics Image Processing, Computer-Assisted Retinal Vessels Fundus Oculi Neural Networks, Computer
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A Mood Semantic Awareness Model for Emotional Interactive Robots.

Sensors (Basel, Switzerland) Jan 28, 2024
The rapid development of natural language processing technology and improvements in computer performance in recent years have resulted in the wide-scale development and adoption of human-machine dialogue systems. In this study, the Icc_dialogue model...
Emotions Robotics Language Semantics Humans Communication
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