AIMC Topic: Humans

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3D Human Pose Machines with Self-Supervised Learning.

IEEE transactions on pattern analysis and machine intelligence Jan 14, 2019
Driven by recent computer vision and robotic applications, recovering 3D human poses has become increasingly important and attracted growing interests. In fact, completing this task is quite challenging due to the diverse appearances, viewpoints, occ...
Humans Imaging, Three-Dimensional Posture Supervised Machine Learning Video Recording Algorithms Databases, Factual Deep Learning
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Querying Representative and Informative Super-Pixels for Filament Segmentation in Bioimages.

IEEE/ACM transactions on computational biology and bioinformatics Jan 14, 2019
Segmenting bioimage based filaments is a critical step in a wide range of applications, including neuron reconstruction and blood vessel tracing. To achieve an acceptable segmentation performance, most of the existing methods need to annotate amounts...
Diagnostic Imaging Retina Algorithms Image Processing, Computer-Assisted Microscopy, Confocal Humans Machine Learning
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Detection of Extraprostatic Extension of Cancer on Biparametric MRI Combining Texture Analysis and Machine Learning: Preliminary Results.

Academic radiology Jan 14, 2019
RATIONALE AND OBJECTIVES: Extraprostatic extension of disease (EPE) has a major role in risk stratification of prostate cancer patients. Currently, pretreatment local staging is performed with MRI, while the gold standard is represented by histopatho...
Neoplasm Invasiveness Predictive Value of Tests Bayes Theorem Prostatic Neoplasms Neoplasm Staging Prostate Humans Middle Aged Prognosis Machine Learning Risk Assessment Prostatectomy Aged Magnetic Resonance Imaging Male Algorithms
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Binomial Logistic Regression and Artificial Neural Network Methods to Classify Opioid-Dependent Subjects and Control Group Using Quantitative EEG Power Measures.

Clinical EEG and neuroscience Jan 14, 2019
Logistic regression (LR) and artificial neural networks (ANNs) are widely referred approaches in medical data classification studies. LR, a statistical fitting model, is suggested in medical problems because of its well-established methodology and co...
Humans Neural Networks, Computer Male Middle Aged ROC Curve Algorithms Female Adult Analgesics, Opioid Control Groups Logistic Models Electroencephalography Signal Processing, Computer-Assisted
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Impact of guidelines for the management of minor head injury on the utilization and diagnostic yield of CT over two decades, using natural language processing in a large dataset.

European radiology Jan 14, 2019
OBJECTIVES: We investigated the impact of clinical guidelines for the management of minor head injury on utilization and diagnostic yield of head CT over two decades.
Glasgow Coma Scale Emergency Service, Hospital Guidelines as Topic Craniocerebral Trauma Retrospective Studies Tomography, X-Ray Computed Female Male Middle Aged Natural Language Processing Humans Algorithms
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A parameter-efficient deep learning approach to predict conversion from mild cognitive impairment to Alzheimer's disease.

NeuroImage Jan 14, 2019
Some forms of mild cognitive impairment (MCI) are the clinical precursors of Alzheimer's disease (AD), while other MCI types tend to remain stable over-time and do not progress to AD. To identify and choose effective and personalized strategies to pr...
Apolipoprotein E4 Disease Progression Deep Learning Alzheimer Disease Cognitive Dysfunction Early Diagnosis Aged Magnetic Resonance Imaging Neuroimaging Aged, 80 and over Models, Neurological Male Predictive Value of Tests Humans Female
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Transfer Learning with Deep Convolutional Neural Networks for Classifying Cellular Morphological Changes.

SLAS discovery : advancing life sciences R & D Jan 14, 2019
The quantification and identification of cellular phenotypes from high-content microscopy images has proven to be very useful for understanding biological activity in response to different drug treatments. The traditional approach has been to use cla...
Neural Networks, Computer Deep Learning MCF-7 Cells Humans Datasets as Topic
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Explainable artificial intelligence for breast cancer: A visual case-based reasoning approach.

Artificial intelligence in medicine Jan 14, 2019
Case-Based Reasoning (CBR) is a form of analogical reasoning in which the solution for a (new) query case is determined using a database of previous known cases with their solutions. Cases similar to the query are retrieved from the database, and the...
Breast Neoplasms Humans Machine Learning Automation Artificial Intelligence Algorithms Female
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A scoping review of ontologies related to human behaviour change.

Nature human behaviour Jan 14, 2019
Ontologies are classification systems specifying entities, definitions and inter-relationships for a given domain, with the potential to advance knowledge about human behaviour change. A scoping review was conducted to: (1) identify what ontologies e...
Biological Ontologies Behavior Therapy Humans Behavior Mental Disorders Mental Processes Emotions
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Artificial neural networks in the selection of shoe lasts for people with mild diabetes.

Medical engineering & physics Jan 14, 2019
This research addressed the selection of shoe lasts for footwear design to help relieve the pain associated with diabetic neuropathy and foot ulcers. A reverse engineering (RE) technique was used to convert point clouds corresponding to scanned shoe ...
Neural Networks, Computer Equipment Design Diabetic Foot Pain Diabetic Neuropathies Humans Shoes
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