AIMC Journal:
Computer methods and programs in biomedicine

Showing 541 to 550 of 861 articles

CT kernel conversions using convolutional neural net for super-resolution with simplified squeeze-and-excitation blocks and progressive learning among smooth and sharp kernels.

Computer methods and programs in biomedicine Jun 20, 2020
PURPOSE: Computed tomography (CT) volume sets reconstructed with different kernels are helping to increase diagnostic accuracy. However, several CT volumes reconstructed with different kernels are difficult to sustain, due to limited storage and main...
Aged Male Middle Aged Tomography, X-Ray Computed Female Humans Neural Networks, Computer
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Explainable Deep Learning for Pulmonary Disease and Coronavirus COVID-19 Detection from X-rays.

Computer methods and programs in biomedicine Jun 20, 2020
BACKGROUND AND OBJECTIVE: Coronavirus disease (COVID-19) is an infectious disease caused by a new virus never identified before in humans. This virus causes respiratory disease (for instance, flu) with symptoms such as cough, fever and, in severe cas...
Betacoronavirus Pneumonia, Viral Radiography, Thoracic X-Rays Humans Neural Networks, Computer Deep Learning Image Processing, Computer-Assisted Algorithms Lung Diseases Pandemics Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results COVID-19 SARS-CoV-2 Coronavirus Infections
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Optical health analysis of visual comfort for bright screen display based on back propagation neural network.

Computer methods and programs in biomedicine Jun 10, 2020
BACKGROUND: The visual comfort of liquid crystal display (LCD) is the subjective evaluation of the user. It is a multi-dimensional and multi-factor problem, which is affected by the luminous characteristics of the LCD screen, the physiological factor...
Humans Neural Networks, Computer Temperature Vision, Ocular
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A patient specific forecasting model for human albumin based on deep neural networks.

Computer methods and programs in biomedicine Jun 6, 2020
BACKGROUND AND OBJECTIVES: Hypoalbuminemia can be life threatening among critically ill patients. In this study, we develop a patient-specific monitoring and forecasting model based on deep neural networks to predict concentrations of albumin and a s...
Humans Neural Networks, Computer Serum Albumin, Human Machine Learning Forecasting
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CoroNet: A deep neural network for detection and diagnosis of COVID-19 from chest x-ray images.

Computer methods and programs in biomedicine Jun 5, 2020
BACKGROUND AND OBJECTIVE: The novel Coronavirus also called COVID-19 originated in Wuhan, China in December 2019 and has now spread across the world. It has so far infected around 1.8 million people and claimed approximately 114,698 lives overall. As...
SARS-CoV-2 Deep Learning Radiographic Image Interpretation, Computer-Assisted Databases, Factual Reproducibility of Results Radiography, Thoracic Betacoronavirus Pneumonia, Viral Neural Networks, Computer Coronavirus Infections Software False Positive Reactions COVID-19 Pandemics Algorithms Humans
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Evaluation of deep learning detection and classification towards computer-aided diagnosis of breast lesions in digital X-ray mammograms.

Computer methods and programs in biomedicine Jun 4, 2020
BACKGROUND AND OBJECTIVE: Deep learning detection and classification from medical imagery are key components for computer-aided diagnosis (CAD) systems to efficiently support physicians leading to an accurate diagnosis of breast lesions.
X-Rays Deep Learning Mammography Humans Neural Networks, Computer Computers Breast Neoplasms Machine Learning
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Using deep learning to generate synthetic B-mode musculoskeletal ultrasound images.

Computer methods and programs in biomedicine Jun 4, 2020
BACKGROUND AND OBJECTIVE: Deep learning approaches are common in image processing, but often rely on supervised learning, which requires a large volume of training images, usually accompanied by hand-crafted labels. As labelled data are often not ava...
Algorithms Deep Learning Muscle, Skeletal Ultrasonography Image Processing, Computer-Assisted
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A size-invariant convolutional network with dense connectivity applied to retinal vessel segmentation measured by a unique index.

Computer methods and programs in biomedicine May 31, 2020
BACKGROUND AND OBJECTIVES: Retinal vessel segmentation (RVS) helps in diagnosing diseases such as hypertension, cardiovascular diseases, and others. Convolutional neural networks are widely used in RVS tasks. However, how to comprehensively evaluate ...
Image Processing, Computer-Assisted Neural Networks, Computer Retinal Vessels Databases, Factual
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Deep learning architectures analysis for age-related macular degeneration segmentation on optical coherence tomography scans.

Computer methods and programs in biomedicine May 26, 2020
BACKGROUND AND OBJECTIVES: Aged people usually are more to be diagnosed with retinal diseases in developed countries. Retinal capillaries leakage into the retina swells and causes an acute vision loss, which is called age-related macular degeneration...
Retina Macular Degeneration Humans Deep Learning Neural Networks, Computer Aged Tomography, Optical Coherence
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Mass detection in mammograms by bilateral analysis using convolution neural network.

Computer methods and programs in biomedicine May 24, 2020
BACKGROUND AND OBJECTIVE: Automatic detection of the masses in mammograms is a big challenge and plays a crucial role to assist radiologists for accurate diagnosis. In this paper, a bilateral image analysis method based on Convolution Neural Network ...
Neural Networks, Computer Image Processing, Computer-Assisted Mammography
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