AIMC Journal:
Computer methods and programs in biomedicine

Showing 651 to 660 of 863 articles

Combining convolutional neural networks and star convex cuts for fast whole spine vertebra segmentation in MRI.

Computer methods and programs in biomedicine May 16, 2019
BACKGROUND AND OBJECTIVE: We propose an automatic approach for fast vertebral body segmentation in three-dimensional magnetic resonance images of the whole spine. Previous works are limited to the lower thoracolumbar section and often take minutes to...
Neural Networks, Computer Image Processing, Computer-Assisted Machine Learning Magnetic Resonance Imaging Software Spine Algorithms Humans Pattern Recognition, Automated Reproducibility of Results
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Digital hair segmentation using hybrid convolutional and recurrent neural networks architecture.

Computer methods and programs in biomedicine May 15, 2019
BACKGROUND AND OBJECTIVE: Skin melanoma is one of the major health problems in many countries. Dermatologists usually diagnose melanoma by visual inspection of moles. Digital hair removal can provide a non-invasive way to remove hair and hair-like re...
Skin Neoplasms Reproducibility of Results Diagnosis, Computer-Assisted Deep Learning Image Processing, Computer-Assisted Skin Artifacts False Positive Reactions Hair Humans Neural Networks, Computer Algorithms Databases, Factual Melanoma
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A machine learning-based approach for predicting the outbreak of cardiovascular diseases in patients on dialysis.

Computer methods and programs in biomedicine May 13, 2019
BACKGROUND AND OBJECTIVE: Patients with End- Stage Kidney Disease (ESKD) have a unique cardiovascular risk. This study aims at predicting, with a certain precision, death and cardiovascular diseases in dialysis patients.
Middle Aged Support Vector Machine Humans Models, Statistical Bayes Theorem Machine Learning Italy Kidney Failure, Chronic Algorithms Registries Aged Databases, Factual False Positive Reactions Sensitivity and Specificity Risk Biomarkers Male Prognosis Cardiovascular Diseases Female
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A machine learning approach for predicting urine output after fluid administration.

Computer methods and programs in biomedicine May 13, 2019
BACKGROUND AND OBJECTIVE: To develop a machine learning model to predict urine output (UO) in sepsis patients after fluid resuscitation.
Male Middle Aged Sepsis Decision Support Systems, Clinical Kidney Function Tests Electronic Health Records Area Under Curve Female Humans Fluid Therapy Risk Factors Machine Learning Critical Care Aged Algorithms Urination Sensitivity and Specificity Intensive Care Units Resuscitation
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Surgical skill levels: Classification and analysis using deep neural network model and motion signals.

Computer methods and programs in biomedicine May 13, 2019
BACKGROUND AND OBJECTIVES: Currently, the assessment of surgical skills relies primarily on the observations of expert surgeons. This may be time-consuming, non-scalable, inconsistent and subjective. Therefore, an automated system that can objectivel...
Clinical Competence Minimally Invasive Surgical Procedures Laparoscopy Robotic Surgical Procedures Sutures Motion Calibration Accelerometry Movement Young Adult Adult Male Surgeons Middle Aged Humans Neural Networks, Computer Algorithms Female
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Segmenting brain tumors from FLAIR MRI using fully convolutional neural networks.

Computer methods and programs in biomedicine May 11, 2019
BACKGROUND AND OBJECTIVE: Magnetic resonance imaging (MRI) is an indispensable tool in diagnosing brain-tumor patients. Automated tumor segmentation is being widely researched to accelerate the MRI analysis and allow clinicians to precisely plan trea...
Magnetic Resonance Imaging Male Middle Aged Imaging, Three-Dimensional Image Processing, Computer-Assisted Humans Female Neural Networks, Computer Aged Machine Learning Young Adult Algorithms Adult Brain Brain Neoplasms
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A new approach for arrhythmia classification using deep coded features and LSTM networks.

Computer methods and programs in biomedicine May 10, 2019
BACKGROUND AND OBJECTIVE: For diagnosis of arrhythmic heart problems, electrocardiogram (ECG) signals should be recorded and monitored. The long-term signal records obtained are analyzed by expert cardiologists. Devices such as the Holter monitor hav...
Humans Neural Networks, Computer Software Algorithms Signal Processing, Computer-Assisted Databases, Factual Electrocardiography, Ambulatory Reproducibility of Results Arrhythmias, Cardiac Data Management Pattern Recognition, Automated Electrocardiography Data Compression Principal Component Analysis
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A RR interval based automated apnea detection approach using residual network.

Computer methods and programs in biomedicine May 8, 2019
BACKGROUND AND OBJECTIVE: Apnea is one of the most common conditions that causes sleep-disorder breathing. With growing number of patients worldwide, more and more patients suffer from complications of apnea. But most of them stay untreated due to th...
Reproducibility of Results Adult Sensitivity and Specificity Male Middle Aged Humans Neural Networks, Computer Algorithms Female Polysomnography Electrocardiography Support Vector Machine Signal Processing, Computer-Assisted Sleep Apnea Syndromes Respiration
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A review of automated sleep stage scoring based on physiological signals for the new millennia.

Computer methods and programs in biomedicine May 2, 2019
BACKGROUND AND OBJECTIVE: Sleep is an important part of our life. That importance is highlighted by the multitude of health problems which result from sleep disorders. Detecting these sleep disorders requires an accurate interpretation of physiologic...
Humans Algorithms Deep Learning Electrocardiography Medical Informatics Normal Distribution Polysomnography Electrooculography Sleep Stages Electroencephalography Signal Processing, Computer-Assisted Internet Heart Rate
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Extracting chemical-protein interactions from biomedical literature via granular attention based recurrent neural networks.

Computer methods and programs in biomedicine Apr 30, 2019
BACKGROUND AND OBJECTIVE: The extraction of interactions between chemicals and proteins from biomedical literature is important for many biomedical tasks such as drug discovery and precision medicine. In the existing systems, the methods achieving co...
Data Mining Deep Learning Probability Humans Proteins Databases, Protein Neural Networks, Computer Publications Software PubMed Reproducibility of Results
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