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Showing 1281 to 1290 of 1686 articles

Hybrid Unified Deep Learning Network for Highly Precise Gleason Grading of Prostate Cancer.

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
Prostate cancer is one of the leading causes of death around the world. The manual Gleason grading of prostate cancer after histological analysis of stained tissue slides is rigorous, time-consuming and also suffers from subjectivity among experts. I...
Neoplasm Grading Neural Networks, Computer Diagnosis, Computer-Assisted Male Deep Learning Prostatic Neoplasms Humans
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Variations on Branding with Text Occurrence for Optimized Body Parts 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, 2019
The aim of this paper is to combine automatically generated image keywords with radiographs, thus enabling an enriched multi-modal image representation for body part classification. The proposed method could also be used to incorporate meta data into...
Humans Neural Networks, Computer Human Body Radiography Deep Learning Records
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Automatic Detection of Focal Liver Lesions in Multi-phase CT Images Using A Multi-channel & Multi-scale CNN.

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
There are multiple types of tumors occurring in the liver, each of which have a different visual appearance that changes after injection of the contrast medium. Therefore, detection of liver tumors is considered to be a challenging task.In the presen...
Liver Neoplasms Neural Networks, Computer Tomography, X-Ray Computed Humans
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Deep Learning Based Dosimetry Evaluation at Organs-at-Risk in Esophageal Radiation Treatment Planning.

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
Rapid esophageal radiation treatment planning is often obstructed by manually adjusting optimization parameters. The adjustment process is commonly guided by the dose-volume histogram (DVH), which evaluates dosimetry at planning target volume (PTV) a...
Deep Learning Humans Radiometry Radiotherapy, Intensity-Modulated Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Organs at Risk
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Monitoring of Patient Blanket Coverage using 3D Camera 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
Nurses in a hospital are responsible for the monitoring and care of a large number of patients. Regularly checking if patients are sufficiently covered by their blankets is part of a nurse's normal workload. In this paper, an algorithm based on 3D im...
Support Vector Machine Imaging, Three-Dimensional Algorithms
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Understanding Deep Convolutional Networks for Biomedical Imaging: A Practical Tutorial.

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
Medical imaging seeks to unveil the internal structures hidden by the skin and bones to assist disease diagnosis and also treatment optimisation. In the past, processing medical images used to be a laborious task. However, the development of artifici...
Machine Learning Deep Learning Neural Networks, Computer Artificial Intelligence
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Detection and Classification of Chronic Total Occlusion lesions using 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, 2019
Cardiovascular disease (CVD) is one of the diseases with the highest mortality rate in modern society, while chronic total occlusion (CTO) is the initial factor that influences the success rate of percutaneous coronary intervention (PCI), which is on...
Deep Learning Treatment Outcome Risk Factors Percutaneous Coronary Intervention Coronary Occlusion Coronary Angiography Chronic Disease Humans
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Precise Heart Rate Measurement Using Non-contact Doppler Radar Assisted by Machine-Learning-Based Sleep Posture Estimation.

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
Non-contact and continuous heart rate measurement using Doppler radar is important for various healthcare applications. In this paper, we propose a precise heart rate measurement method assisted by machine learning based sleep posture estimation. Mac...
Heart Rate Signal Processing, Computer-Assisted Machine Learning Radar Posture Humans
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Signal2Image Modules in Deep Neural Networks for EEG 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, 2019
Deep learning has revolutionized computer vision utilizing the increased availability of big data and the power of parallel computational units such as graphical processing units. The vast majority of deep learning research is conducted using images ...
Electroencephalography Neural Networks, Computer Deep Learning
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Estimation of brain connectivity through Artificial 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, 2019
Among different methods available for estimating brain connectivity from electroencephalographic signals (EEG), those based on MVAR models have proved to be flexible and accurate. They rely on the solution of linear equations that can be pursued thro...
Neural Networks, Computer Regression Analysis Electroencephalography Brain Algorithms
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