AIMC Topic: Humans

Showing 65611 to 65620 of 95995 articles
Clear Filters

Development of a deep neural network for automated electromyographic pattern classification.

The Journal of experimental biology Mar 4, 2019
Determining the signal quality of surface electromyography (sEMG) recordings is time consuming and requires the judgement of trained observers. An automated procedure to evaluate sEMG quality would streamline data processing and reduce time demands. ...
Neural Networks, Computer Algorithms Signal Processing, Computer-Assisted Electromyography Humans
View on PubMed DOI

Scaled Subprofile Modeling and Convolutional Neural Networks for the Identification of Parkinson's Disease in 3D Nuclear Imaging Data.

International journal of neural systems Mar 3, 2019
Over the last years convolutional neural networks (CNNs) have shown remarkable results in different image classification tasks, including medical imaging. One area that has been less explored with CNNs is Positron Emission Tomography (PET). Fluorodeo...
Humans Neural Networks, Computer Brain Female Aged Male Positron-Emission Tomography Imaging, Three-Dimensional Fluorodeoxyglucose F18 Parkinson Disease Middle Aged Models, Statistical Case-Control Studies Principal Component Analysis Functional Neuroimaging
View on PubMed DOI

Breast Microcalcification Diagnosis Using Deep Convolutional Neural Network from Digital Mammograms.

Computational and mathematical methods in medicine Mar 3, 2019
Mammography is successfully used as an effective screening tool for cancer diagnosis. A calcification cluster on mammography is a primary sign of cancer. Early researches have proved the diagnostic value of the calcification, yet their performance is...
Mammography Biopsy Aged Breast Image Processing, Computer-Assisted Algorithms Humans Young Adult Stochastic Processes Early Detection of Cancer Prognosis Sensitivity and Specificity Neural Networks, Computer Calcinosis Breast Neoplasms Female Software Adult Middle Aged Reproducibility of Results Deep Learning
View on PubMed DOI

IARNN-Based Semantic-Containing Double-Level Embedding Bi-LSTM for Question-and-Answer Matching.

Computational intelligence and neuroscience Mar 3, 2019
We propose a novel end-to-end approach, namely, the semantic-containing double-level embedding Bi-LSTM model (SCDE-Bi-LSTM), to solve the three key problems of Q&A matching in the Chinese medical field. In the similarity calculation of the Q&A core m...
Semantics Algorithms Humans Language Neural Networks, Computer Asian People Machine Learning Attention
View on PubMed DOI

Study on Hesitant Fuzzy Information Measures and Their Clustering Application.

Computational intelligence and neuroscience Mar 3, 2019
At present, research on hesitant fuzzy operations and measures is based on equal length processing, and an equal length processing method will inevitably destroy the original data structure and change the data information. This is an urgent problem t...
Uncertainty Fuzzy Logic Cluster Analysis Decision Making Entropy Humans Algorithms
View on PubMed DOI

Deep Learning-Based Delineation of Head and Neck Organs at Risk: Geometric and Dosimetric Evaluation.

International journal of radiation oncology, biology, physics Mar 2, 2019
PURPOSE: Organ-at-risk (OAR) delineation is a key step in treatment planning but can be time consuming, resource intensive, subject to variability, and dependent on anatomical knowledge. We studied deep learning (DL) for automated delineation of mult...
Humans Deep Learning Head and Neck Neoplasms Organs at Risk Radiotherapy Planning, Computer-Assisted Pharyngeal Muscles Larynx Esophagus Benchmarking Mouth Parotid Gland Submandibular Gland Brain Stem Esophageal Sphincter, Upper
View on PubMed DOI

Natural Language Processing of Radiology Reports in Patients With Hepatocellular Carcinoma to Predict Radiology Resource Utilization.

Journal of the American College of Radiology : JACR Mar 2, 2019
OBJECTIVE: Radiology is a finite health care resource in high demand at most health centers. However, anticipating fluctuations in demand is a challenge because of the inherent uncertainty in disease prognosis. The aim of this study was to explore th...
Ontario Predictive Value of Tests Natural Language Processing Area Under Curve Tomography, X-Ray Computed ROC Curve Research Report Liver Neoplasms Female Radiology Information Systems Carcinoma, Hepatocellular Aged Radiology Department, Hospital Sensitivity and Specificity Male Middle Aged Health Resources Humans Machine Learning Databases, Factual Retrospective Studies
View on PubMed DOI

The present and future of deep learning in radiology.

European journal of radiology Mar 2, 2019
The advent of Deep Learning (DL) is poised to dramatically change the delivery of healthcare in the near future. Not only has DL profoundly affected the healthcare industry it has also influenced global businesses. Within a span of very few years, ad...
Radiology Radiologists Humans Artificial Intelligence Forecasting Delivery of Health Care Quality of Life Deep Learning
View on PubMed DOI

Robot-assisted Therapy for the Upper Limb after Cervical Spinal Cord Injury.

Physical medicine and rehabilitation clinics of North America Mar 2, 2019
Tetraplegia resulting from cervical injury is the most frequent neurologic category after spinal cord injury and causes substantial disability. The residual strength of partially paralyzed muscles is an important determinant of independence and funct...
Upper Extremity Neurological Rehabilitation Quadriplegia Robotics Cervical Cord Spinal Cord Injuries Therapy, Computer-Assisted Humans
View on PubMed DOI

Retinal blood vessel extraction employing effective image features and combination of supervised and unsupervised machine learning methods.

Artificial intelligence in medicine Mar 2, 2019
In medicine, retinal vessel analysis of fundus images is a prominent task for the screening and diagnosis of various ophthalmological and cardiovascular diseases. In this research, a method is proposed for extracting the retinal blood vessels employi...
Retinal Vessels Decision Trees Unsupervised Machine Learning Supervised Machine Learning Humans Algorithms Image Processing, Computer-Assisted Cluster Analysis
View on PubMed DOI
Popular Topics
Recent Journals