AIMC Journal:
ieee-embc

Showing 1411 to 1420 of 1686 articles

CardioXNet: Automated Detection for Cardiomegaly Based on Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
In this paper, we present an automated procedure to determine the presence of cardiomegaly on chest X-ray image based on deep learning. The proposed algorithm CardioXNet uses deep learning methods U-NET and cardiothoracic ratio for diagnosis of cardi...
Cardiomegaly Algorithms Humans Deep Learning Neural Networks, Computer
View on PubMed DOI

Coronary Artery Segmentation by Deep Learning Neural Networks on Computed Tomographic Coronary Angiographic Images.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Coronary artery lumen delineation, to localize and grade stenosis, is an important but tedious and challenging task for coronary heart disease evaluation. Deep learning has recently been successful applied to many applications, including medical imag...
Computed Tomography Angiography Image Processing, Computer-Assisted Humans Neural Networks, Computer Coronary Vessels Deep Learning
View on PubMed DOI

Lumen Segmentation in Optical Coherence Tomography Images using Convolutional Neural Network.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Lumen segmentation in Optical Coherence Tomography (OCT) images is a very important step to analyze points of interest that may help on atherosclerosis diagnostic and treatment. Past studies use many different methods to segment the lumen in IVOCT im...
Humans Tomography, Optical Coherence Heart Neural Networks, Computer Image Processing, Computer-Assisted
View on PubMed DOI

Detecting Intracranial Hemorrhage with Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Initial results are reported on automated detection of intracranial hemorrhage from CT, which would be valuable in a computer-aided diagnosis system to help the radiologist detect subtle hemorrhages. Previous work has taken a classic approach involvi...
Deep Learning Image Processing, Computer-Assisted Intracranial Hemorrhages Sensitivity and Specificity Diagnosis, Computer-Assisted Neural Networks, Computer Databases, Factual Humans
View on PubMed DOI

CHF Detection with LSTM Neural Network.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Heart rate variability has been proven to be an effective prediction of risk of heart failure. The tradition method required manual feature extraction, thus may lead to potential error. In order to improve the robustness, a deep learning method based...
Humans Heart Failure Heart Rate Neural Networks, Computer Deep Learning
View on PubMed DOI

Classification of Cardiovascular Disease via A New SoftMax Model.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Cardiovascular disease clinical diagnosis is an essentially problem of pattern recognition. In the traditional intelligent diagnosis, the evaluation of classification algorithm is based on the final accuracy of the disease diagnosis. In this paper, a...
Regression Analysis Humans Neural Networks, Computer Cardiovascular Diseases Algorithms Cluster Analysis
View on PubMed DOI

Pattern Analysis in Physiological Pulsatile Signals: An Aid to Personalized Healthcare.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
We present a system to analyze patterns inside pulsatile signals and discover repetitions inside signals. We measure dominance of the repetitions using morphology and discrete nature of the signals by exploiting machine learning and information theor...
Photoplethysmography Monitoring, Physiologic Pattern Recognition, Automated Machine Learning Algorithms Humans
View on PubMed DOI

A Two Stage Approach for the Automatic Detection of Insomnia.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Chronic insomnia can significantly impair an individual's quality of life leading to a high societal cost. Unfortunately, limited automated tools exist that can assist clinicians in the timely detection of insomnia. In this paper, we propose a two st...
Aged Young Adult Neural Networks, Computer Female Male Middle Aged Adolescent Adult Sensitivity and Specificity Humans Normal Distribution Sleep Stages Electroencephalography Sleep Initiation and Maintenance Disorders Support Vector Machine Discriminant Analysis
View on PubMed DOI

Sleep Posture Classification Using Bed Sensor Data and Neural Networks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Sleep posture has been shown to be important in monitoring health conditions such as congestive heart failure (CHF), sleep apnea, pressure ulcers, and even blood pressure abnormalities. In this paper, we investigate the use of four hydraulic bed tran...
Beds Transducers Posture Sleep Humans Neural Networks, Computer
View on PubMed DOI

DNN Filter Bank Improves 1-Max Pooling CNN for Single-Channel EEG Automatic Sleep Stage Classification.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
We present in this paper an efficient convolutional neural network (CNN) running on time-frequency image features for automatic sleep stage classification. Opposing to deep architectures which have been used for the task, the proposed CNN is much sim...
Algorithms Electroencephalography Sleep Stages Humans Neural Networks, Computer
View on PubMed DOI
Popular Topics
Popular Journals