AIMC Journal:
Computer methods and programs in biomedicine

Showing 611 to 620 of 863 articles

Integrating machine learning techniques and physiology based heart rate features for antepartum fetal monitoring.

Computer methods and programs in biomedicine Oct 17, 2019
BACKGROUND AND OBJECTIVES: Intrauterine Growth Restriction (IUGR) is a fetal condition defined as the abnormal rate of fetal growth. The pathology is a documented cause of fetal and neonatal morbidity and mortality. In clinical practice, diagnosis is...
Heart Rate, Fetal Fetal Monitoring Systems Integration Female Reproducibility of Results Cardiotocography Humans Machine Learning Pregnancy
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ML-ResNet: A novel network to detect and locate myocardial infarction using 12 leads ECG.

Computer methods and programs in biomedicine Oct 17, 2019
BACKGROUND AND OBJECTIVE: Myocardial infarction (MI) is one of the most threatening cardiovascular diseases for human beings, which can be diagnosed by electrocardiogram (ECG). Automated detection methods based on ECG focus on extracting handcrafted ...
Myocardial Infarction Humans Neural Networks, Computer Electrocardiography
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Two stage residual CNN for texture denoising and structure enhancement on low dose CT image.

Computer methods and programs in biomedicine Oct 8, 2019
BACKGROUND AND OBJECTIVE: X-ray computed tomography (CT) plays an important role in modern medical science. Human health problems caused by CT radiation have attracted the attention of the academic community widely. Reducing radiation dose results in...
Neural Networks, Computer Algorithms Tomography, X-Ray Computed Wavelet Analysis Image Processing, Computer-Assisted Radiation Dosage Signal-To-Noise Ratio
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GC-Net: Global context network for medical image segmentation.

Computer methods and programs in biomedicine Oct 4, 2019
BACKGROUND AND OBJECTIVE: Medical image segmentation plays an important role in many clinical applications such as disease diagnosis, surgery planning, and computer-assisted therapy. However, it is a very challenging task due to variant images qualit...
Neural Networks, Computer Algorithms Image Processing, Computer-Assisted
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Fully automated 3D segmentation and separation of multiple cervical vertebrae in CT images using a 2D convolutional neural network.

Computer methods and programs in biomedicine Oct 4, 2019
BACKGROUND AND OBJECTIVE: We investigated a novel method using a 2D convolutional neural network (CNN) to identify superior and inferior vertebrae in a single slice of CT images, and a post-processing for 3D segmentation and separation of cervical ve...
Humans Neural Networks, Computer Automation Image Processing, Computer-Assisted Cervical Vertebrae Datasets as Topic Tomography, X-Ray Computed Reproducibility of Results Case-Control Studies
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Deep contextualized embeddings for quantifying the informative content in biomedical text summarization.

Computer methods and programs in biomedicine Oct 4, 2019
BACKGROUND AND OBJECTIVE: Capturing the context of text is a challenging task in biomedical text summarization. The objective of this research is to show how contextualized embeddings produced by a deep bidirectional language model can be utilized to...
Medical Informatics Semantics Unified Medical Language System Humans Deep Learning Algorithms Natural Language Processing Data Mining
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Retinal vascular junction detection and classification via deep neural networks.

Computer methods and programs in biomedicine Sep 27, 2019
BACKGROUND AND OBJECTIVES: The retinal fundus contains intricate vascular trees, some of which are mutually intersected and overlapped. The intersection and overlapping of retinal vessels represent vascular junctions (i.e. bifurcation and crossover) ...
Image Processing, Computer-Assisted Databases, Factual Color Humans Fundus Oculi Reproducibility of Results Retina Neural Networks, Computer Diagnosis, Computer-Assisted Algorithms Anisotropy Retinal Vessels
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Orthogonal convolutional neural networks for automatic sleep stage classification based on single-channel EEG.

Computer methods and programs in biomedicine Sep 27, 2019
BACKGROUND AND OBJECTIVE: In recent years, several automatic sleep stage classification methods based on convolutional neural networks (CNN) by learning hierarchical feature representation automatically from raw EEG data have been proposed. However, ...
Sleep Stages Calibration Polysomnography Sleep Wake Disorders Algorithms Signal Processing, Computer-Assisted Databases, Factual Sleep Apnea, Obstructive Reproducibility of Results Sleep Time Factors Adult Electrocardiography Sensitivity and Specificity Electroencephalography Male Humans Neural Networks, Computer Machine Learning
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Super-resolution reconstruction of knee magnetic resonance imaging based on deep learning.

Computer methods and programs in biomedicine Sep 24, 2019
BACKGROUND AND OBJECTIVE: With the rapid development of medical imaging and intelligent diagnosis, artificial intelligence methods have become a research hotspot of radiography processing technology in recent years. The low definition of knee magneti...
Humans Neural Networks, Computer Artificial Intelligence Algorithms Computer Simulation Deep Learning Cartilage Osteoarthritis, Knee Image Processing, Computer-Assisted Knee Magnetic Resonance Imaging
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A superpixel-driven deep learning approach for the analysis of dermatological wounds.

Computer methods and programs in biomedicine Sep 13, 2019
BACKGROUND: The image-based identification of distinct tissues within dermatological wounds enhances patients' care since it requires no intrusive evaluations. This manuscript presents an approach, we named QTDU, that combines deep learning models wi...
Dermatology Pattern Recognition, Automated Skin Ulcer Principal Component Analysis Area Under Curve Bayes Theorem Humans Deep Learning Machine Learning Image Processing, Computer-Assisted Algorithms Support Vector Machine Reproducibility of Results Sensitivity and Specificity Diagnosis, Computer-Assisted
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