AIMC Topic: Semantics

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Contrastive Learning vs. Self-Learning vs. Deformable Data Augmentation in Semantic Segmentation of Medical Images.

Journal of imaging informatics in medicine Jun 10, 2024
To develop a robust segmentation model, encoding the underlying features/structures of the input data is essential to discriminate the target structure from the background. To enrich the extracted feature maps, contrastive learning and self-learning ...
Humans Tomography, X-Ray Computed Image Processing, Computer-Assisted Kidney Magnetic Resonance Imaging Brain Neoplasms Deep Learning Hippocampus Semantics
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KLSANet: Key local semantic alignment Network for few-shot image classification.

Neural networks : the official journal of the International Neural Network Society Jun 10, 2024
Few-shot image classification involves recognizing new classes with a limited number of labeled samples. Current local descriptor-based methods, while leveraging consistent low-level features across visible and invisible classes, face challenges incl...
Image Processing, Computer-Assisted Neural Networks, Computer Dogs Algorithms Semantics Pattern Recognition, Automated Animals
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Heterogeneous graph convolutional network for multi-view semi-supervised classification.

Neural networks : the official journal of the International Neural Network Society Jun 7, 2024
This paper proposes a novel approach to semantic representation learning from multi-view datasets, distinct from most existing methodologies which typically handle single-view data individually, maintaining a shared semantic link across the multi-vie...
Neural Networks, Computer Algorithms Humans Supervised Machine Learning Semantics
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Deep learning automatic semantic segmentation of glioblastoma multiforme regions on multimodal magnetic resonance images.

International journal of computer assisted radiology and surgery Jun 7, 2024
OBJECTIVES: In patients having naïve glioblastoma multiforme (GBM), this study aims to assess the efficacy of Deep Learning algorithms in automating the segmentation of brain magnetic resonance (MR) images to accurately determine 3D masks for 4 disti...
Glioblastoma Semantics Brain Neoplasms Magnetic Resonance Imaging Deep Learning Humans Imaging, Three-Dimensional Multimodal Imaging Algorithms
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Cycle contrastive adversarial learning with structural consistency for unsupervised high-quality image deraining transformer.

Neural networks : the official journal of the International Neural Network Society Jun 4, 2024
In overcoming the challenges faced in adapting to paired real-world data, recent unsupervised single image deraining (SID) methods have proven capable of accomplishing notably acceptable deraining performance. However, the previous methods usually fa...
Semantics Image Processing, Computer-Assisted Unsupervised Machine Learning Neural Networks, Computer Humans Algorithms
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Privacy-Preserving Synthetic Continual Semantic Segmentation for Robotic Surgery.

IEEE transactions on medical imaging Jun 3, 2024
Deep Neural Networks (DNNs) based semantic segmentation of the robotic instruments and tissues can enhance the precision of surgical activities in robot-assisted surgery. However, in biological learning, DNNs cannot learn incremental tasks over time ...
Humans Robotic Surgical Procedures Deep Learning Privacy Neural Networks, Computer Image Processing, Computer-Assisted Semantics Algorithms
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A syntactic evidence network model for fact verification.

Neural networks : the official journal of the International Neural Network Society Jun 1, 2024
In natural language processing, fact verification is a very challenging task, which requires retrieving multiple evidence sentences from a reliable corpus to verify the authenticity of a claim. Although most of the current deep learning methods use t...
Semantics Natural Language Processing Attention Humans Language Deep Learning Neural Networks, Computer
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KEMoS: A knowledge-enhanced multi-modal summarizing framework for Chinese online meetings.

Neural networks : the official journal of the International Neural Network Society May 31, 2024
The demand for "online meetings" and "collaborative office work" keeps surging recently, producing an abundant amount of relevant data. How to provide participants with accurate and fast summarizing service has attracted extensive attention. Existing...
Cluster Analysis Algorithms Knowledge East Asian People Semantics Humans China Neural Networks, Computer Videoconferencing
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Using drawings and deep neural networks to characterize the building blocks of human visual similarity.

Memory & cognition May 30, 2024
Early in life and without special training, human beings discern resemblance between abstract visual stimuli, such as drawings, and the real-world objects they represent. We used this capacity for visual abstraction as a tool for evaluating deep neur...
Female Young Adult Humans Pattern Recognition, Visual Adult Semantics Neural Networks, Computer Male
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On knowing a gene: A distributional hypothesis of gene function.

Cell systems May 28, 2024
As words can have multiple meanings that depend on sentence context, genes can have various functions that depend on the surrounding biological system. This pleiotropic nature of gene function is limited by ontologies, which annotate gene functions w...
Gene Ontology Genes Natural Language Processing Humans Semantics Animals Computational Biology
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