AIMC Topic: Feasibility Studies
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Feasibility of support vector machine learning in age-related macular degeneration using small sample yielding sparse optical coherence tomography data.
Acta ophthalmologica
Mar 6, 2019
PURPOSE: A retrospective pilot study is conducted to demonstrate the utility of a novel support vector machine learning (SVML) algorithm in a small three-dimensional (3D) sample yielding sparse optical coherence tomography (spOCT) data for the automa...
Male
Middle Aged
Disease Progression
Pilot Projects
Retrospective Studies
Female
Aged
Aged, 80 and over
Follow-Up Studies
Tomography, Optical Coherence
Feasibility Studies
Macula Lutea
Time Factors
ROC Curve
Imaging, Three-Dimensional
Support Vector Machine
Humans
Algorithms
Prognosis
Wet Macular Degeneration
Left ventricle segmentation in the era of deep learning.
Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology
Mar 4, 2019
Feasibility of simple machine learning approaches to support detection of non-glaucomatous visual fields in future automated glaucoma clinics.
Eye (London, England)
Mar 4, 2019
OBJECTIVES: To assess the performance of feed-forward back-propagation artificial neural networks (ANNs) in detecting field defects caused by pituitary disease from among a glaucomatous population.
A Battery-Powered Ankle Exoskeleton Improves Gait Mechanics in a Feasibility Study of Individuals with Cerebral Palsy.
Annals of biomedical engineering
Mar 1, 2019
Neuromuscular impairment associated with cerebral palsy (CP) often leads to life-long walking deficits. Our goal was to evaluate the ability of a novel untethered wearable ankle exoskeleton to reduce the severity of gait pathology from CP. In this cl...
A feasibility study for predicting optimal radiation therapy dose distributions of prostate cancer patients from patient anatomy using deep learning.
Scientific reports
Jan 31, 2019
With the advancement of treatment modalities in radiation therapy for cancer patients, outcomes have improved, but at the cost of increased treatment plan complexity and planning time. The accurate prediction of dose distributions would alleviate thi...
Water-fat separation and parameter mapping in cardiac MRI via deep learning with a convolutional neural network.
Journal of magnetic resonance imaging : JMRI
Jan 30, 2019
BACKGROUND: Water-fat separation is a postprocessing technique most commonly applied to multiple-gradient-echo magnetic resonance (MR) images to identify fat, provide images with fat suppression, and to measure fat tissue concentration. Recently, Num...
Diagnosis of early gastric cancer based on fluorescence hyperspectral imaging technology combined with partial-least-square discriminant analysis and support vector machine.
Journal of biophotonics
Jan 28, 2019
This study investigated the feasibility of using fluorescence hyperspectral imaging technology to diagnose of early-stage gastric cancer. Fluorescence spectral images of 76 patients who were pathologically diagnosed as non-atrophic gastritis, premali...
Design and Feasibility Study of a Leg-exoskeleton Assistive Wheelchair Robot with Tests on Gluteus Medius Muscles.
Sensors (Basel, Switzerland)
Jan 28, 2019
The muscles of the lower limbs directly influence leg motion, therefore, lower limb muscle exercise is important for persons living with lower limb disabilities. This paper presents a medical assistive robot with leg exoskeletons for locomotion and l...
The feasibility of using robotic technology to quantify sensory, motor, and cognitive impairments associated with ALS.
Amyotrophic lateral sclerosis & frontotemporal degeneration
Jan 27, 2019
OBJECTIVE: We used the KINARM robot to quantify impairments in cognitive and upper-limb sensorimotor performance in a cohort of people with amyotrophic lateral sclerosis (ALS). We sought to study the feasibility of using this technology for ALS resea...
Ultra-short term HRV features as surrogates of short term HRV: a case study on mental stress detection in real life.
BMC medical informatics and decision making
Jan 17, 2019
BACKGROUND: This paper suggests a method to assess the extent to which ultra-short Heart Rate Variability (HRV) features (less than 5 min) can be considered as valid surrogates of short HRV features (nominally 5 min). Short term HRV analysis has been...
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