AIMC Journal:
Medical & biological engineering & computing

Showing 291 to 300 of 330 articles

Application of fractal theory and fuzzy enhancement in ultrasound image segmentation.

Medical & biological engineering & computing Oct 9, 2018
The manuscript describes an ultrasound image segmentation technique based on the fractional Brownian motion (FBM) model. Here, the ultrasound images are first enhanced using a fuzzy-based technique, and later the FBM model is employed to obtain the f...
Humans Algorithms Ultrasonography Carotid Arteries Fractals Gallbladder Liver Image Enhancement Fuzzy Logic
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A study of intracortical porosity's area fractions and aspect ratios using computer vision and pulse-coupled neural networks.

Medical & biological engineering & computing Sep 28, 2018
Employing computer vision (CV) and optimized pulse-coupled neural networks (PCNN), this work automatically quantifies the geometrical attributes of intracortical bone porosity (namely lacunae and canaliculi (L-C), Haversian canals, and resorption cav...
Cattle Bone Resorption Image Processing, Computer-Assisted Haversian System Femur Cortical Bone Female Neural Networks, Computer Animals Artificial Intelligence Porosity
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Neural network-based model predictive control for type 1 diabetic rats on artificial pancreas system.

Medical & biological engineering & computing Aug 1, 2018
Artificial pancreas system (APS) is a viable option to treat diabetic patients. Researchers, however, have not conclusively determined the best control method for APS. Due to intra-/inter-variability of insulin absorption and action, an individualize...
Neural Networks, Computer Animals Diabetes Mellitus, Type 1 Rats, Sprague-Dawley Diabetes Mellitus, Experimental Blood Glucose Insulin Pancreas, Artificial
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A hierarchical semi-supervised extreme learning machine method for EEG recognition.

Medical & biological engineering & computing Jul 28, 2018
Feature extraction and classification is a vital part in motor imagery-based brain-computer interface (BCI) system. Traditional deep learning (DL) methods usually perform better with more labeled training samples. Unfortunately, the labeled samples a...
Benchmarking Brain-Computer Interfaces Machine Learning Algorithms Electroencephalography Humans
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A novel fused convolutional neural network for biomedical image classification.

Medical & biological engineering & computing Jul 12, 2018
With the advent of biomedical imaging technology, the number of captured and stored biomedical images is rapidly increasing day by day in hospitals, imaging laboratories and biomedical institutions. Therefore, more robust biomedical image analysis te...
Image Interpretation, Computer-Assisted Deep Learning Diagnostic Imaging Neural Networks, Computer Algorithms Humans
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Classification of pressure ulcer tissues with 3D convolutional neural network.

Medical & biological engineering & computing Jun 15, 2018
A 3D convolution neural network (CNN) of deep learning architecture is supplied with essential visual features to accurately classify and segment granulation, necrotic eschar, and slough tissues in pressure ulcer color images. After finding a region ...
Humans Algorithms Imaging, Three-Dimensional Pressure Ulcer Neural Networks, Computer Image Processing, Computer-Assisted Color
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Automatic recognition of 3D GGO CT imaging signs through the fusion of hybrid resampling and layer-wise fine-tuning CNNs.

Medical & biological engineering & computing Jun 6, 2018
Ground-glass opacity (GGO) is a common CT imaging sign on high-resolution CT, which means the lesion is more likely to be malignant compared to common solid lung nodules. The automatic recognition of GGO CT imaging signs is of great importance for ea...
Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Sensitivity and Specificity Humans Imaging, Three-Dimensional Lung Algorithms Neural Networks, Computer Lung Neoplasms
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Soft tissue deformation modelling through neural dynamics-based reaction-diffusion mechanics.

Medical & biological engineering & computing May 30, 2018
Soft tissue deformation modelling forms the basis of development of surgical simulation, surgical planning and robotic-assisted minimally invasive surgery. This paper presents a new methodology for modelling of soft tissue deformation based on reacti...
Neural Networks, Computer Connective Tissue Computer Simulation Phantoms, Imaging Feedback Biomechanical Phenomena Models, Anatomic Humans Diffusion Anisotropy
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Patient-specific and global convolutional neural networks for robust automatic liver tumor delineation in follow-up CT studies.

Medical & biological engineering & computing Mar 10, 2018
Radiological longitudinal follow-up of tumors in CT scans is essential for disease assessment and liver tumor therapy. Currently, most tumor size measurements follow the RECIST guidelines, which can be off by as much as 50%. True volumetric measureme...
Liver Neoplasms Image Processing, Computer-Assisted Follow-Up Studies Algorithms Humans Tomography, X-Ray Computed Neural Networks, Computer Automation
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Classifying clinical notes with pain assessment using machine learning.

Medical & biological engineering & computing Dec 26, 2017
Pain is a significant public health problem, affecting millions of people in the USA. Evidence has highlighted that patients with chronic pain often suffer from deficits in pain care quality (PCQ) including pain assessment, treatment, and reassessmen...
Male Middle Aged Algorithms Female Pain Measurement Humans Aged Machine Learning
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