AIMC Journal:
ieee-embc

Showing 1111 to 1120 of 1686 articles

Convolutional Neural Network Based Detection of Atrial Fibrillation Combing R-R intervals and F-wave Frequency Spectrum.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Atrial Fibrillation (AF) is one of the arrhythmias that is common and serious in clinic. In this study, a novel method of AF classification with a convolutional neural network (CNN) was proposed, and particularly two cardiac rhythm features of R-R in...
Electrocardiography Algorithms Atrial Fibrillation Sensitivity and Specificity Humans Neural Networks, Computer
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Deep Learning-Based Radiomics Models for Early Recurrence Prediction of Hepatocellular Carcinoma with Multi-phase CT Images and Clinical Data.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Hepatocellular carcinoma (HCC) is the fifth most common malignancy in the world and the second most common cause of cancer-related death. By surgically removing hepatocellular carcinoma, the patients may have the early recurrence within one year. Rec...
Humans Deep Learning Area Under Curve Tomography, X-Ray Computed ROC Curve Neoplasm Recurrence, Local Liver Neoplasms Carcinoma, Hepatocellular
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Attention-Guided Convolutional Neural Network for Detecting Pneumonia on Chest X-Rays.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Pneumonia is a common infectious disease in the world. Its main diagnostic method is chest X-ray (CXR) examination. However, the high visual similarity between a large number of pathologies in CXR makes the interpretation and differentiation of pneum...
Radiography, Thoracic Humans Radiographic Image Interpretation, Computer-Assisted Neural Networks, Computer Attention Pneumonia
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3D Ultrasound Spine Image Selection Using Convolution Learning-to-Rank Algorithm.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
3D Ultrasound imaging has become an important means of scoliosis assessment as it is a real-time, cost-effective and radiation-free imaging technique. However, the coronal images from different depths of a 3D ultrasound image have different imaging d...
Neural Networks, Computer Algorithms Imaging, Three-Dimensional Spine Ultrasonography Humans
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Convolutional Neural Network Approach to Classify Skin Lesions Using Reflectance Confocal Microscopy.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
We propose an approach based on a convolutional neural network to classify skin lesions using the reflectance confocal microscopy (RCM) mosaics. Skin cancers are the most common type of cancers and a correct, early diagnosis significantly lowers both...
Melanoma Skin Neoplasms Humans Carcinoma, Basal Cell Microscopy, Confocal Neural Networks, Computer Sensitivity and Specificity Dermoscopy Nevus, Pigmented
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A Comprehensive Classification System for Breast Cancer Diagnosis Based on Dynamic Optical Breast Imaging.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
The Dynamic Optical Breast Imaging technology is a promising breast cancer diagnosis approach based on tumor angiogenesis or vascular change detection which generally causes an increased blood volume in tumor. By applying sustained pressure to breast...
Breast Neoplasms Support Vector Machine Breast Pattern Recognition, Automated Female Sensitivity and Specificity Humans Algorithms
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Automatic Parallel Detection of Neovascularization from Retinal Images Using Ensemble of Extreme Learning Machine.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Retinopathy screening is a non-invasive method to collect retinal images and neovascularization detection from retinal images plays a significant role on the identification and classification of diabetes retinopathy. In this paper, an automatic paral...
Machine Learning Algorithms Humans Diabetic Retinopathy Neovascularization, Pathologic Databases, Factual Color
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Reckoning respiratory signals to affectively decipher mental state.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Recognizing mental states from physiological signal is a concern not only for medical diagnostics, but also for cognitive science, behavioral studies as well as brain machine interfaces. This study employs an unique approach of solely utilizing the r...
Humans Neural Networks, Computer Respiration Mental Status and Dementia Tests Algorithms Brain-Computer Interfaces
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Estimation of Sparse VAR Models with Artificial Neural Networks for the Analysis of Biosignals.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Vector autoregressive models (VAR models) are often used to model and to analyze multivariate time series, especially to provide short-term forecasts. A common method of estimating coefficients of these VAR models is solving the Yule- Walker equation...
Neural Networks, Computer Biosensing Techniques Algorithms Computer Simulation
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Automatic Inference of Rat's Hindlimb Trajectory to Synchronize with Forelimb Gait Through Phase.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Synchronous forelimb-hindlimb gait pattern is important to facilitate natural walking behavior of an injured rat with total transection. Since our ultimate research goal is to build a rehabilitation robotic system to simulate the natural walking patt...
Walking Gait Rats Robotics Locomotion Upper Extremity Forelimb Automation Hindlimb Animals
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