AIMC Topic: Humans
Showing 65671 to 65680 of 95995 articles
A trial for EBT3 film without batch-specific calibration using a neural network.
Physics in medicine and biology
Feb 27, 2019
This note reports a trial to establish an ANN (artificial neural network) method applying to EBT3 films of different batches without batch-specific calibration. Based on Pytorch (Facebook, https://pytorch.org/), a feed-forward ANN model was built to ...
Automatic diagnostics of tuberculosis using convolutional neural networks analysis of MODS digital images.
PloS one
Feb 27, 2019
Tuberculosis is an infectious disease that causes ill health and death in millions of people each year worldwide. Timely diagnosis and treatment is key to full patient recovery. The Microscopic Observed Drug Susceptibility (MODS) is a test to diagnos...
A motor learning therapeutic intervention for a child with cerebral palsy through a social assistive robot.
Disability and rehabilitation. Assistive technology
Feb 26, 2019
Children with cerebral palsy have difficulty to sit, stand, walk, run and jump independently. Therapy is an important factor in improving these aspects, and if applied in early intervention treatments, when the child is growing, it could have many b...
Deep Learning Movement Intent Decoders Trained With Dataset Aggregation for Prosthetic Limb Control.
IEEE transactions on bio-medical engineering
Feb 26, 2019
SIGNIFICANCE: The performance of traditional approaches to decoding movement intent from electromyograms (EMGs) and other biological signals commonly degrade over time. Furthermore, conventional algorithms for training neural network based decoders m...
Image Synthesis in Multi-Contrast MRI With Conditional Generative Adversarial Networks.
IEEE transactions on medical imaging
Feb 26, 2019
Acquiring images of the same anatomy with multiple different contrasts increases the diversity of diagnostic information available in an MR exam. Yet, the scan time limitations may prohibit the acquisition of certain contrasts, and some contrasts may...
Deep Attention Network for Egocentric Action Recognition.
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Feb 26, 2019
Recognizing a camera wearer's actions from videos captured by an egocentric camera is a challenging task. In this paper, we employ a two-stream deep neural network composed of an appearance-based stream and a motion-based stream to recognize egocentr...
Deep learning for electroencephalogram (EEG) classification tasks: a review.
Journal of neural engineering
Feb 26, 2019
OBJECTIVE: Electroencephalography (EEG) analysis has been an important tool in neuroscience with applications in neuroscience, neural engineering (e.g. Brain-computer interfaces, BCI's), and even commercial applications. Many of the analytical tools ...
iEnhancer-5Step: Identifying enhancers using hidden information of DNA sequences via Chou's 5-step rule and word embedding.
Analytical biochemistry
Feb 26, 2019
An enhancer is a short (50-1500bp) region of DNA that plays an important role in gene expression and the production of RNA and proteins. Genetic variation in enhancers has been linked to many human diseases, such as cancer, disorder or inflammatory b...
Transfer learning for predicting human skin sensitizers.
Archives of toxicology
Feb 26, 2019
Computational prioritization of chemicals for potential skin sensitization risks plays essential roles in the risk assessment of environmental chemicals and drug development. Given the huge number of chemicals for testing, computational methods enabl...
Multiple Machine Learning Comparisons of HIV Cell-based and Reverse Transcriptase Data Sets.
Molecular pharmaceutics
Feb 26, 2019
The human immunodeficiency virus (HIV) causes over a million deaths every year and has a huge economic impact in many countries. The first class of drugs approved were nucleoside reverse transcriptase inhibitors. A newer generation of reverse transcr...
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