Humans
Showing 69371 to 69380 of 95995 articles
Leukocyte Image Segmentation Using Novel Saliency Detection Based on Positive Feedback of Visual Perception.
Journal of healthcare engineering
Feb 1, 2018
This paper presents a novel method for salient object detection in nature image by simulating microsaccades in fixational eye movements. Due to a nucleated cell usually stained that is salient obviously, the proposed method is suitable to segment nuc...
Deep Learning for Computer Vision: A Brief Review.
Computational intelligence and neuroscience
Feb 1, 2018
Over the last years deep learning methods have been shown to outperform previous state-of-the-art machine learning techniques in several fields, with computer vision being one of the most prominent cases. This review paper provides a brief overview o...
Lipid Metabolism in Patients with Anti-N-Methyl-D-Aspartate Receptor Encephalitis.
Neuroimmunomodulation
Feb 1, 2018
OBJECTIVE: Lipid metabolism has been implicated in autoimmune disorders, but its relationship with anti-N-methyl-D-aspartate receptor (anti-NMDAR) encephalitis is unclear. This study examined the association of serum lipids with anti-NMDAR encephalit...
Long-term use of the JACO robotic arm: a case series.
Disability and rehabilitation. Assistive technology
Jan 31, 2018
PURPOSE: Past research with JACO has principally focused on the short-term impacts on new users. Therefore, this study aims to document the long-term impacts of this assistive device on users and their family caregivers following prolonged use.
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Humanitarian health computing using artificial intelligence and social media: A narrative literature review.
International journal of medical informatics
Jan 31, 2018
INTRODUCTION: According to the World Health Organization (WHO), over 130 million people are in constant need of humanitarian assistance due to natural disasters, disease outbreaks, and conflicts, among other factors. These health crises can compromis...
Learning-based classification of informative laryngoscopic frames.
Computer methods and programs in biomedicine
Jan 31, 2018
BACKGROUND AND OBJECTIVE: Early-stage diagnosis of laryngeal cancer is of primary importance to reduce patient morbidity. Narrow-band imaging (NBI) endoscopy is commonly used for screening purposes, reducing the risks linked to a biopsy but at the co...
NiftyNet: a deep-learning platform for medical imaging.
Computer methods and programs in biomedicine
Jan 31, 2018
BACKGROUND AND OBJECTIVES: Medical image analysis and computer-assisted intervention problems are increasingly being addressed with deep-learning-based solutions. Established deep-learning platforms are flexible but do not provide specific functional...
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Machine Learning on a Genome-wide Association Study to Predict Late Genitourinary Toxicity After Prostate Radiation Therapy.
International journal of radiation oncology, biology, physics
Jan 31, 2018
PURPOSE: Late genitourinary (GU) toxicity after radiation therapy limits the quality of life of prostate cancer survivors; however, efforts to explain GU toxicity using patient and dose information have remained unsuccessful. We identified patients w...
Urogenital System
Nocturia
Brachytherapy
Urination Disorders
Risk
Urination
Symptom Assessment
Lower Urinary Tract Symptoms
Urinary Retention
Androgen Antagonists
Machine Learning
Confidence Intervals
Reproducibility of Results
Genotyping Techniques
Male
Predictive Value of Tests
Polymorphism, Single Nucleotide
Area Under Curve
Regression Analysis
Prostatic Neoplasms
Quality of Life
Genome-Wide Association Study
Humans
A novel, fast and efficient single-sensor automatic sleep-stage classification based on complementary cross-frequency coupling estimates.
Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
Jan 31, 2018
OBJECTIVE: Limitations of the manual scoring of polysomnograms, which include data from electroencephalogram (EEG), electro-oculogram (EOG), electrocardiogram (ECG) and electromyogram (EMG) channels have long been recognized. Manual staging is resour...
Simultaneous detection and classification of breast masses in digital mammograms via a deep learning YOLO-based CAD system.
Computer methods and programs in biomedicine
Jan 31, 2018
BACKGROUND AND OBJECTIVE: Automatic detection and classification of the masses in mammograms are still a big challenge and play a crucial role to assist radiologists for accurate diagnosis. In this paper, we propose a novel Computer-Aided Diagnosis (...
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