AIMC Topic: Humans
Showing 66971 to 66980 of 95995 articles
Concept learning through deep reinforcement learning with memory-augmented neural networks.
Neural networks : the official journal of the International Neural Network Society
Nov 12, 2018
Deep neural networks have shown superior performance in many regimes to remember familiar patterns with large amounts of data. However, the standard supervised deep learning paradigm is still limited when facing the need to learn new concepts efficie...
Cardiac sarcoidosis classification with deep convolutional neural network-based features using polar maps.
Computers in biology and medicine
Nov 12, 2018
AIMS: The aim of this study was to determine whether deep convolutional neural network (DCNN)-based features can represent the difference between cardiac sarcoidosis (CS) and non-CS using polar maps.
A study of positioning orientation effect on segmentation accuracy using convolutional neural networks for rectal cancer.
Journal of applied clinical medical physics
Nov 12, 2018
PURPOSE: Convolutional neural networks (CNN) have greatly improved medical image segmentation. A robust model requires training data can represent the entire dataset. One of the differing characteristics comes from variability in patient positioning ...
A conceptual framework for clinicians working with artificial intelligence and health-assistive Smart Homes.
Nursing inquiry
Nov 12, 2018
The Smart Home designed to extend older adults independence is emerging as a clinical solution to the growing ageing population. Nurses will and should play a key role in the development and application of Smart Home technology. Accordingly, conceptu...
Physiological Responses and Perceived Exertion During Robot-Assisted and Body Weight-Supported Gait After Stroke.
Neurorehabilitation and neural repair
Nov 12, 2018
INTRODUCTION: Physiological responses are rarely considered during walking after stroke and if considered, only during a short period (3-6 minutes). The aims of this study were to examine physiological responses during 30-minute robot-assisted and bo...
Automatic Classification of Online Doctor Reviews: Evaluation of Text Classifier Algorithms.
Journal of medical Internet research
Nov 12, 2018
BACKGROUND: An increasing number of doctor reviews are being generated by patients on the internet. These reviews address a diverse set of topics (features), including wait time, office staff, doctor's skills, and bedside manners. Most previous work ...
Could Robots Help Older People with Age-Related Nutritional Problems? Opinions of Potential Users.
International journal of environmental research and public health
Nov 12, 2018
The rapid development of new technologies has recently raised interest in the use of assistive robots in the care of older people. The success or failure of robots' implementation is mediated by their acceptance by users. The aim of the study was to...
Performance of Deep Learning Architectures and Transfer Learning for Detecting Glaucomatous Optic Neuropathy in Fundus Photographs.
Scientific reports
Nov 12, 2018
The ability of deep learning architectures to identify glaucomatous optic neuropathy (GON) in fundus photographs was evaluated. A large database of fundus photographs (n = 14,822) from a racially and ethnically diverse group of individuals (over 33% ...
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Development of 3D patient-based super-resolution digital breast phantoms using machine learning.
Physics in medicine and biology
Nov 12, 2018
Digital phantoms are important tools for optimization and evaluation of x-ray imaging systems, and should ideally reflect the 3D structure of human anatomy and its potential variability. In addition, they need to include a good level of detail at a h...
Annotation of enhanced radiographs for medical image retrieval with deep convolutional neural networks.
PloS one
Nov 12, 2018
The number of images taken per patient scan has rapidly increased due to advances in software, hardware and digital imaging in the medical domain. There is the need for medical image annotation systems that are accurate as manual annotation is imprac...
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