AIMC Journal:
Computer methods and programs in biomedicine

Showing 381 to 390 of 844 articles

Crossover based technique for data augmentation.

Computer methods and programs in biomedicine Feb 28, 2022
BACKGROUND AND OBJECTIVE: Medical image classification problems are frequently constrained by the availability of datasets. "Data augmentation" has come as a data enhancement and data enrichment solution to the challenge of limited data. Traditionall...
Brain Neoplasms Databases, Factual Mammography Data Management Humans Neural Networks, Computer
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A novel convolutional neural network for kidney ultrasound images segmentation.

Computer methods and programs in biomedicine Feb 26, 2022
BACKGROUND AND OBJECTIVE: Ultrasound imaging has been widely used in the screening of kidney diseases. The localization and segmentation of the kidneys in ultrasound images are helpful for the clinical diagnosis of diseases. However, it is a challeng...
Learning Ultrasonography Neural Networks, Computer Kidney Image Processing, Computer-Assisted
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Weighted IForest and siamese GRU on small sample anomaly detection in healthcare.

Computer methods and programs in biomedicine Feb 23, 2022
Background and objectiveAt present, many achievements have been made in anomaly detection of big data using deep neural network, However, in many practical application scenarios, there are still some problems, such as shortage of data, too large work...
Algorithms Delivery of Health Care Neural Networks, Computer Big Data
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Enhancing deep learning based classifiers with inpainting anatomical side markers (L/R markers) for multi-center trials.

Computer methods and programs in biomedicine Feb 22, 2022
BACKGROUND AND OBJECTIVE: The protocol for placing anatomical side markers (L/R markers) in chest radiographs varies from one hospital or department to another. However, the markers have strong signals that can be useful for deep learning-based class...
Radiography Deep Learning Area Under Curve ROC Curve
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The contrast-enhanced MRI can be substituted by unenhanced MRI in identifying and automatically segmenting primary nasopharyngeal carcinoma with the aid of deep learning models: An exploratory study in large-scale population of endemic area.

Computer methods and programs in biomedicine Feb 16, 2022
BACKGROUND AND OBJECTIVES: Administration of contrast is not desirable for all cases in clinical setting, and no consensus in sequence selection for deep learning model development has been achieved, thus we aim to explore whether contrast-enhanced m...
Nasopharyngeal Neoplasms Deep Learning Retrospective Studies Nasopharyngeal Carcinoma Humans Magnetic Resonance Imaging
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Application of photoplethysmography signals for healthcare systems: An in-depth review.

Computer methods and programs in biomedicine Feb 1, 2022
BACKGROUND AND OBJECTIVES: Photoplethysmography (PPG) is a device that measures the amount of light absorbed by the blood vessel, blood, and tissues, which can, in turn, translate into various measurements such as the variation in blood flow volume, ...
Machine Learning Delivery of Health Care Signal Processing, Computer-Assisted Heart Rate Blood Pressure Photoplethysmography
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Granger causality test with nonlinear neural-network-based methods: Python package and simulation study.

Computer methods and programs in biomedicine Jan 29, 2022
BACKGROUND AND OBJECTIVE: Causality defined by Granger in 1969 is a widely used concept, particularly in neuroscience and economics. As there is an increasing interest in nonlinear causality research, a Python package with a neural-network-based caus...
Nonlinear Dynamics Neural Networks, Computer Algorithms Computer Simulation
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Developing machine learning models for prediction of mortality in the medical intensive care unit.

Computer methods and programs in biomedicine Jan 26, 2022
BACKGROUND AND OBJECTIVE: Alert of patient deterioration is essential for prompt medical intervention in the Medical Intensive Care Unit (MICU). Logistic Regression (LR) has been used for the development of most conventional severity-of-illness scori...
Intensive Care Units Adult Bayes Theorem Machine Learning Databases, Factual Humans Hospital Mortality Models, Statistical
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A multi-task two-path deep learning system for predicting the invasiveness of craniopharyngioma.

Computer methods and programs in biomedicine Jan 21, 2022
BACKGROUND AND OBJECTIVE: Craniopharyngioma is a kind of benign brain tumor in histography. However, it might be clinically aggressive and have severe manifestations, such as increased intracranial pressure, hypothalamic-pituitary dysfunction, and vi...
Pituitary Neoplasms Humans Magnetic Resonance Imaging Craniopharyngioma Deep Learning Reproducibility of Results Image Processing, Computer-Assisted
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Human-computer interaction based interface design of intelligent health detection using PCANet and multi-sensor information fusion.

Computer methods and programs in biomedicine Jan 21, 2022
BACKGROUND AND OBJECTIVE: At present, because health monitoring using human-computer interaction (HCI) has become a demand in society, an intelligent health detector with HCI characteristics is urgently needed. Our device and software framework can p...
Humans Computers Software Algorithms Neural Networks, Computer
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