AIMC Topic: Humans
Showing 64651 to 64660 of 95995 articles
Neo-adjuvant chemoradiotherapy response prediction using MRI based ensemble learning method in rectal cancer patients.
Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
May 15, 2019
OBJECTIVES: The aim of this study was to investigate and validate the performance of individual and ensemble machine learning models (EMLMs) based on magnetic resonance imaging (MRI) to predict neo-adjuvant chemoradiation therapy (nCRT) response in r...
A Hybridized ELM for Automatic Micro Calcification Detection in Mammogram Images Based on Multi-Scale Features.
Journal of medical systems
May 15, 2019
Detection of masses and micro calcifications are a stimulating task for radiologists in digital mammogram images. Radiologists using Computer Aided Detection (CAD) frameworks to find the breast lesion. Micro calcification may be the early sign of bre...
Interpretable classification of Alzheimer's disease pathologies with a convolutional neural network pipeline.
Nature communications
May 15, 2019
Neuropathologists assess vast brain areas to identify diverse and subtly-differentiated morphologies. Standard semi-quantitative scoring approaches, however, are coarse-grained and lack precise neuroanatomic localization. We report a proof-of-concept...
A machine-learning-based prediction model of fistula formation after interstitial brachytherapy for locally advanced gynecological malignancies.
Brachytherapy
May 15, 2019
PURPOSE: External beam radiotherapy combined with interstitial brachytherapy is commonly used to treat patients with bulky, advanced gynecologic cancer. However, the high radiation dose needed to control the tumor may result in fistula development. T...
Cardiovascular disease risk prediction using automated machine learning: A prospective study of 423,604 UK Biobank participants.
PloS one
May 15, 2019
BACKGROUND: Identifying people at risk of cardiovascular diseases (CVD) is a cornerstone of preventative cardiology. Risk prediction models currently recommended by clinical guidelines are typically based on a limited number of predictors with sub-op...
Semantic Face Hallucination: Super-Resolving Very Low-Resolution Face Images with Supplementary Attributes.
IEEE transactions on pattern analysis and machine intelligence
May 14, 2019
Given a tiny face image, existing face hallucination methods aim at super-resolving its high-resolution (HR) counterpart by learning a mapping from an exemplary dataset. Since a low-resolution (LR) input patch may correspond to many HR candidate patc...
NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding.
IEEE transactions on pattern analysis and machine intelligence
May 14, 2019
Research on depth-based human activity analysis achieved outstanding performance and demonstrated the effectiveness of 3D representation for action recognition. The existing depth-based and RGB+D-based action recognition benchmarks have a number of l...
Machine-learning identifies Parkinson's disease patients based on resting-state between-network functional connectivity.
The British journal of radiology
May 14, 2019
OBJECTIVE: Evaluation of a data-driven, model-based classification approach to discriminate idiopathic Parkinson's disease (PD) patients from healthy controls (HC) based on between-network connectivity in whole-brain resting-state functional MRI (rs-...
Meaning-driven syntactic predictions in a parallel processing architecture: Theory and algorithmic modeling of ERP effects.
Neuropsychologia
May 14, 2019
Syntactic and semantic information processing can interact selectively during language comprehension. However, the nature and extent of the interactions, in particular of semantic effects on syntax, remain to some extent elusive. We revisit an influe...
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