AIMC Topic: Semantics

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Neural Network-Based Mapping Mining of Image Style Transfer in Big Data Systems.

Computational intelligence and neuroscience Aug 21, 2021
Image style transfer can realize the mutual transfer between different styles of images and is an essential application for big data systems. The use of neural network-based image data mining technology can effectively mine the useful information in ...
Humans Semantics Neural Networks, Computer Data Systems
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Efficient, high-performance semantic segmentation using multi-scale feature extraction.

PloS one Aug 19, 2021
The success of deep learning in recent years has arguably been driven by the availability of large datasets for training powerful predictive algorithms. In medical applications however, the sensitive nature of the data limits the collection and excha...
Algorithms Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Brain Neoplasms Humans Neural Networks, Computer Magnetic Resonance Imaging Semantics Pancreas
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The Growing Role for Semantic Segmentation in Urology.

European urology focus Aug 18, 2021
As the quantity and quality of cross-sectional imaging data increase, it is important to be able to make efficient use of the information. Semantic segmentation is an emerging technology that promises to improve the speed, reproducibility, and accura...
Deep Learning Image Processing, Computer-Assisted Urology Semantics Humans Reproducibility of Results
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Unveiling functions of the visual cortex using task-specific deep neural networks.

PLoS computational biology Aug 13, 2021
The human visual cortex enables visual perception through a cascade of hierarchical computations in cortical regions with distinct functionalities. Here, we introduce an AI-driven approach to discover the functional mapping of the visual cortex. We r...
Neural Networks, Computer Female Adult Humans Functional Neuroimaging Imaging, Three-Dimensional Computational Biology Male Deep Learning Photic Stimulation Visual Perception Visual Cortex Brain Mapping Semantics Task Performance and Analysis Magnetic Resonance Imaging Models, Neurological
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Improving broad-coverage medical entity linking with semantic type prediction and large-scale datasets.

Journal of biomedical informatics Aug 12, 2021
OBJECTIVES: Biomedical natural language processing tools are increasingly being applied for broad-coverage information extraction-extracting medical information of all types in a scientific document or a clinical note. In such broad-coverage settings...
Semantics Natural Language Processing Information Storage and Retrieval Software
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Visual-guided attentive attributes embedding for zero-shot learning.

Neural networks : the official journal of the International Neural Network Society Aug 11, 2021
Zero-shot learning (ZSL) aims to learn a classifier for unseen classes by exploiting both training data from seen classes and external knowledge. In many visual tasks such as image classification, a set of high-level attributes that describe the sema...
Machine Learning Semantics
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Deep Learning on Construction Sites: A Case Study of Sparse Data Learning Techniques for Rebar Segmentation.

Sensors (Basel, Switzerland) Aug 11, 2021
Recent advances in deep learning models for image interpretation finally made it possible to automate construction site monitoring processes that rely on remote sensing. However, the major drawback of these models is their dependency on large dataset...
Supervised Machine Learning Semantics Deep Learning Image Processing, Computer-Assisted Neural Networks, Computer
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A riddle, wrapped in a mystery, inside an enigma: How semantic black boxes and opaque artificial intelligence confuse medical decision-making.

Bioethics Aug 10, 2021
The use of artificial intelligence (AI) in healthcare comes with opportunities but also numerous challenges. A specific challenge that remains underexplored is the lack of clear and distinct definitions of the concepts used in and/or produced by thes...
Humans Clinical Decision-Making Health Facilities Semantics Artificial Intelligence Delivery of Health Care
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MR-Based Radiomics for Differential Diagnosis between Cystic Pituitary Adenoma and Rathke Cleft Cyst.

Computational and mathematical methods in medicine Aug 10, 2021
BACKGROUND: It is often tricky to differentiate cystic pituitary adenoma from Rathke cleft cyst with visual inspection because of similar MRI presentations between them. We aimed to design an MR-based radiomics model for improving differential diagno...
Semantics Central Nervous System Cysts Middle Aged Humans Neural Networks, Computer Diagnosis, Computer-Assisted Retrospective Studies Machine Learning Adenoma Female Adult Computational Biology Diagnosis, Differential Male Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Pituitary Neoplasms
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A Fine-Tuned Bidirectional Encoder Representations From Transformers Model for Food Named-Entity Recognition: Algorithm Development and Validation.

Journal of medical Internet research Aug 9, 2021
BACKGROUND: Recently, food science has been garnering a lot of attention. There are many open research questions on food interactions, as one of the main environmental factors, with other health-related entities such as diseases, treatments, and drug...
Information Storage and Retrieval Semantics Algorithms Natural Language Processing Humans Machine Learning
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