AIMC Topic: Electronic Data Processing

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Artificial Intelligence for Detecting Cephalometric Landmarks: A Systematic Review and Meta-analysis.

Journal of digital imaging Jan 5, 2023
Using computer vision through artificial intelligence (AI) is one of the main technological advances in dentistry. However, the existing literature on the practical application of AI for detecting cephalometric landmarks of orthodontic interest in di...
Reproducibility of Results Cephalometry Electronic Data Processing Humans Artificial Intelligence Algorithms
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A Novel Reformed Reduced Kernel Extreme Learning Machine with RELIEF-F for Classification.

Computational intelligence and neuroscience Mar 24, 2022
With the exponential growth of the Internet population, scientists and researchers face the large-scale data for processing. However, the traditional algorithms, due to their complex computation, are not suitable for the large-scale data, although th...
Data Interpretation, Statistical Electronic Data Processing Humans Machine Learning Algorithms Big Data
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Introducing and applying Newtonian blurring: an augmented dataset of 126,000 human connectomes at braingraph.org.

Scientific reports Feb 23, 2022
Gaussian blurring is a well-established method for image data augmentation: it may generate a large set of images from a small set of pictures for training and testing purposes for Artificial Intelligence (AI) applications. When we apply AI for non-i...
Humans Artificial Intelligence Connectome Internet Datasets as Topic Electronic Data Processing Image Processing, Computer-Assisted Diagnostic Imaging
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Pea-KD: Parameter-efficient and accurate Knowledge Distillation on BERT.

PloS one Feb 18, 2022
Knowledge Distillation (KD) is one of the widely known methods for model compression. In essence, KD trains a smaller student model based on a larger teacher model and tries to retain the teacher model's level of performance as much as possible. Howe...
Language Learning Students Humans Teaching Deep Learning Educational Personnel Electronic Data Processing
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A deep-learning system bridging molecule structure and biomedical text with comprehension comparable to human professionals.

Nature communications Feb 14, 2022
To accelerate biomedical research process, deep-learning systems are developed to automatically acquire knowledge about molecule entities by reading large-scale biomedical data. Inspired by humans that learn deep molecule knowledge from versatile rea...
Information Storage and Retrieval Electronic Data Processing Humans Reading Algorithms Natural Language Processing Biomedical Research Molecular Structure Drug Discovery Data Mining Deep Learning
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An automatic screening method for strabismus detection based on image processing.

PloS one Aug 3, 2021
PURPOSE: This study aims to provide an automatic strabismus screening method for people who live in remote areas with poor medical accessibility.
Electronic Data Processing Health Services Accessibility Mass Screening Algorithms Strabismus Least-Squares Analysis Humans Case-Control Studies Face Neural Networks, Computer Image Processing, Computer-Assisted Pupil
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Bipartite Synchronization of Multiple Memristor-Based Neural Networks With Antagonistic Interactions.

IEEE transactions on neural networks and learning systems Apr 2, 2021
In this article, by introducing a signed graph to describe the coopetition interactions among network nodes, the mathematical model of multiple memristor-based neural networks (MMNNs) with antagonistic interactions is established. Since the cooperati...
Models, Theoretical Electronic Data Processing Neural Networks, Computer Algorithms Computer Simulation
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Automated system for diagnosing endometrial cancer by adopting deep-learning technology in hysteroscopy.

PloS one Mar 31, 2021
Endometrial cancer is a ubiquitous gynecological disease with increasing global incidence. Therefore, despite the lack of an established screening technique to date, early diagnosis of endometrial cancer assumes critical importance. This paper presen...
Sensitivity and Specificity Deep Learning Early Detection of Cancer Humans Endometrial Hyperplasia Female Uterine Neoplasms Polyps Electronic Data Processing Data Accuracy Endometrial Neoplasms Leiomyoma Hysteroscopy
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Anomalous Behavior Detection Framework Using HTM-Based Semantic Folding Technique.

Computational and mathematical methods in medicine Mar 16, 2021
Upon the working principles of the human neocortex, the Hierarchical Temporal Memory model has been developed which is a proposed theoretical framework for sequence learning. Both categorical and numerical types of data are handled by HTM. Semantic F...
Neural Networks, Computer Machine Learning Algorithms Neocortex Humans Electronic Data Processing Natural Language Processing Memory Semantics Pattern Recognition, Automated Learning Computational Biology Models, Neurological
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Task Similarity Estimation Through Adversarial Multitask Neural Network.

IEEE transactions on neural networks and learning systems Feb 4, 2021
Multitask learning (MTL) aims at solving the related tasks simultaneously by exploiting shared knowledge to improve performance on individual tasks. Though numerous empirical results supported the notion that such shared knowledge among tasks plays a...
Alzheimer Disease Electronic Data Processing Neural Networks, Computer Humans Image Processing, Computer-Assisted Machine Learning Algorithms Benchmarking Data Mining
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