Humans
Showing 70371 to 70380 of 95995 articles
Support vector machine for breast cancer classification using diffusion-weighted MRI histogram features: Preliminary study.
Journal of magnetic resonance imaging : JMRI
Oct 16, 2017
BACKGROUND: Diffusion-weighted MRI (DWI) is currently one of the fastest developing MRI-based techniques in oncology. Histogram properties from model fitting of DWI are useful features for differentiation of lesions, and classification can potentiall...
Estrogen Receptor alpha
Diffusion Magnetic Resonance Imaging
Echo-Planar Imaging
Diffusion
Machine Learning
Motion
Image Interpretation, Computer-Assisted
Algorithms
Receptor, ErbB-2
Prospective Studies
Female
Humans
Middle Aged
Image Processing, Computer-Assisted
Support Vector Machine
Breast
Reproducibility of Results
Aged
Adult
Breast Neoplasms
Home-based hand rehabilitation with a robotic glove in hemiplegic patients after stroke: a pilot feasibility study.
Topics in stroke rehabilitation
Oct 16, 2017
OBJECTIVE: To evaluate the feasibility and safety of home rehabilitation of the hand using a robotic glove, and, in addition, its effectiveness, in hemiplegic patients after stroke.
Robot Training With Vector Fields Based on Stroke Survivors' Individual Movement Statistics.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Oct 16, 2017
The wide variation in upper extremity motor impairments among stroke survivors necessitates more intelligent methods of customized therapy. However, current strategies for characterizing individual motor impairments are limited by the use of traditio...
Accuracy of S2 Alar-Iliac Screw Placement Under Robotic Guidance.
Spine deformity
Oct 16, 2017
STUDY DESIGN: Case series.
Pronation and supination analysis based on biomechanical signals from Parkinson's disease patients.
Artificial intelligence in medicine
Oct 16, 2017
In this work, a fuzzy inference model to evaluate hands pronation/supination exercises during the MDS-UPDRS motor examination is proposed to analyze different extracted features from the bio-mechanical signals acquired from patients with Parkinson's ...
Cervical cancer histology image identification method based on texture and lesion area features.
Computer assisted surgery (Abingdon, England)
Oct 16, 2017
The issue of an automated approach for detecting cervical cancer is proposed to improve the accuracy of recognition. Firstly, the cervical cancer histology source images are needed to use image preprocessing for reducing the impact brought by noise o...
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Design and application of tumor prediction model based on statistical method.
Computer assisted surgery (Abingdon, England)
Oct 16, 2017
Two prediction models for tumor prediction based on logistic regression and BP neural network were proposed in this paper; a sensitivity analysis of risk factors was also conducted. The two protocols will be implemented in the R language and demonstr...
Interacting With Robots to Investigate the Bases of Social Interaction.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Oct 16, 2017
Humans show a great natural ability at interacting with each other. Such efficiency in joint actions depends on a synergy between planned collaboration and emergent coordination, a subconscious mechanism based on a tight link between action execution...
A novel machine learning approach reveals latent vascular phenotypes predictive of renal cancer outcome.
Scientific reports
Oct 16, 2017
Gene expression signatures are commonly used as predictive biomarkers, but do not capture structural features within the tissue architecture. Here we apply a 2-step machine learning framework for quantitative imaging of tumor vasculature to derive a ...
A neural network with central pattern generators entrained by sensory feedback controls walking of a bipedal model.
Bioinspiration & biomimetics
Oct 16, 2017
A neuromechanical simulation of a planar, bipedal walking robot has been developed. It is constructed as a simplified, planar musculoskeletal model of the biomechanics of the human lower body. The controller consists of a dynamic neural network with ...
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