AIMC Topic: Image Processing, Computer-Assisted

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[Automated Assessment for Bone Age of Left Wrist Joint in Uyghur Teenagers by Deep Learning].

Fa yi xue za zhi Feb 25, 2018
OBJECTIVES: To realize the automated bone age assessment by applying deep learning to digital radiography （DR） image recognition of left wrist joint in Uyghur teenagers, and explore its practical application value in forensic medicine bone age assess...
Algorithms Female Male China Adolescent Image Processing, Computer-Assisted Neural Networks, Computer Artificial Intelligence Machine Learning Humans Age Determination by Skeleton X-Ray Film Asian People Forensic Medicine Wrist Joint
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Fully-automated alignment of 3D fetal brain ultrasound to a canonical reference space using multi-task learning.

Medical image analysis Feb 21, 2018
Methods for aligning 3D fetal neurosonography images must be robust to (i) intensity variations, (ii) anatomical and age-specific differences within the fetal population, and (iii) the variations in fetal position. To this end, we propose a multi-tas...
Imaging, Three-Dimensional Image Processing, Computer-Assisted Neuroimaging Female Adult Ultrasonography, Prenatal Gestational Age Humans Neural Networks, Computer Algorithms Brain Pregnancy
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Deep Learning for Fall Detection: Three-Dimensional CNN Combined With LSTM on Video Kinematic Data.

IEEE journal of biomedical and health informatics Feb 20, 2018
Fall detection is an important public healthcare problem. Timely detection could enable instant delivery of medical service to the injured. A popular nonintrusive solution for fall detection is based on videos obtained through ambient camera, and the...
Support Vector Machine Deep Learning Humans Video Recording Accidental Falls Neural Networks, Computer Image Processing, Computer-Assisted Human Activities Biomechanical Phenomena
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Biologically Inspired Intensity and Depth Image Edge Extraction.

IEEE transactions on neural networks and learning systems Feb 20, 2018
In recent years, artificial vision research has moved from focusing on the use of only intensity images to include using depth images, or RGB-D combinations due to the recent development of low-cost depth cameras. However, depth images require a lot ...
Neurons Pattern Recognition, Automated Humans Depth Perception Neural Networks, Computer Image Processing, Computer-Assisted Virtual Reality Models, Neurological Action Potentials Visual Pathways
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Clustering fMRI data with a robust unsupervised learning algorithm for neuroscience data mining.

Journal of neuroscience methods Feb 20, 2018
BACKGROUND: Clustering approaches used in functional magnetic resonance imaging (fMRI) research use brain activity to divide the brain into various parcels with some degree of homogeneous characteristics, but choosing the appropriate clustering algor...
Algorithms Brain Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Neural Networks, Computer Signal Processing, Computer-Assisted Data Mining Neurosciences Cluster Analysis Unsupervised Machine Learning Brain Mapping
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Segmentation of white matter hyperintensities using convolutional neural networks with global spatial information in routine clinical brain MRI with none or mild vascular pathology.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Feb 17, 2018
We propose an adaptation of a convolutional neural network (CNN) scheme proposed for segmenting brain lesions with considerable mass-effect, to segment white matter hyperintensities (WMH) characteristic of brains with none or mild vascular pathology ...
White Matter Cognitive Dysfunction Image Processing, Computer-Assisted Humans Magnetic Resonance Imaging Neural Networks, Computer Machine Learning Algorithms Brain
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Combining deep residual neural network features with supervised machine learning algorithms to classify diverse food image datasets.

Computers in biology and medicine Feb 17, 2018
Obesity is increasing worldwide and can cause many chronic conditions such as type-2 diabetes, heart disease, sleep apnea, and some cancers. Monitoring dietary intake through food logging is a key method to maintain a healthy lifestyle to prevent and...
Neural Networks, Computer Machine Learning Databases, Factual Image Processing, Computer-Assisted Humans Food
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Computer Aided Solution for Automatic Segmenting and Measurements of Blood Leucocytes Using Static Microscope Images.

Journal of medical systems Feb 17, 2018
Blood leucocytes segmentation in medical images is viewed as difficult process due to the variability of blood cells concerning their shape and size and the difficulty towards determining location of Blood Leucocytes. Physical analysis of blood tests...
Microscopy Image Interpretation, Computer-Assisted Pattern Recognition, Automated Humans Artificial Intelligence Image Processing, Computer-Assisted Reproducibility of Results Support Vector Machine Leukocytes
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Shared and Subject-Specific Dictionary Learning (ShSSDL) Algorithm for Multisubject fMRI Data Analysis.

IEEE transactions on bio-medical engineering Feb 16, 2018
OBJECTIVE: Analysis of functional magnetic resonance imaging (fMRI) data from multiple subjects is at the heart of many medical imaging studies, and approaches based on dictionary learning (DL) are recently noted as promising solutions to the problem...
Databases, Factual Brain Humans Image Processing, Computer-Assisted Algorithms Magnetic Resonance Imaging Supervised Machine Learning
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Improving the Accuracy of Simultaneously Reconstructed Activity and Attenuation Maps Using Deep Learning.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine Feb 15, 2018
Simultaneous reconstruction of activity and attenuation using the maximum-likelihood reconstruction of activity and attenuation (MLAA) augmented by time-of-flight information is a promising method for PET attenuation correction. However, it still suf...
Humans Brain Female Aged Time Factors Positron Emission Tomography Computed Tomography Male Image Processing, Computer-Assisted Dopamine Deep Learning
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