AIMC Topic: Male

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A deep learning algorithm for one-step contour aware nuclei segmentation of histopathology images.

Medical & biological engineering & computing Jul 26, 2019
This paper addresses the task of nuclei segmentation in high-resolution histopathology images. We propose an automatic end-to-end deep neural network algorithm for segmentation of individual nuclei. A nucleus-boundary model is introduced to predict n...
Image Processing, Computer-Assisted Histocytochemistry Female Male Neoplasms Deep Learning Neural Networks, Computer Algorithms Databases, Factual Humans
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Deep learning approaches using 2D and 3D convolutional neural networks for generating male pelvic synthetic computed tomography from magnetic resonance imaging.

Medical physics Jul 26, 2019
PURPOSE: The improved soft tissue contrast of magnetic resonance imaging (MRI) compared to computed tomography (CT) makes it a useful imaging modality for radiotherapy treatment planning. Even when MR images are acquired for treatment planning, the s...
Middle Aged Tomography, X-Ray Computed Deep Learning Aged Image Processing, Computer-Assisted Humans Prostatic Neoplasms Magnetic Resonance Imaging Aged, 80 and over Retrospective Studies Pelvis Male
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Identifying cognitive deficits in cocaine dependence using standard tests and machine learning.

Progress in neuro-psychopharmacology & biological psychiatry Jul 25, 2019
There is a growing need to address the variability in detecting cognitive deficits with standard tests in cocaine dependence (CD). The aim of the current study was to identify cognitive deficits by means of Machine Learning (ML) algorithms: Generaliz...
Cognition Neuropsychological Tests Cocaine-Related Disorders Female Young Adult Adult Humans Male Machine Learning Cognitive Dysfunction
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A Diagnostic Prediction Model of Acute Symptomatic Portal Vein Thrombosis.

Annals of vascular surgery Jul 25, 2019
BACKGROUND: The aim of this study was to develop a diagnostic prediction model to improve identification of acute symptomatic portal vein thrombosis (PVT).
China Female Support Vector Machine Adult Acute Disease Reproducibility of Results Humans Male Venous Thrombosis Portal Vein Risk Factors Decision Support Techniques Middle Aged Predictive Value of Tests Retrospective Studies Diagnosis, Computer-Assisted
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Development and validation of a deep-learning algorithm for the detection of neovascular age-related macular degeneration from colour fundus photographs.

Clinical & experimental ophthalmology Jul 25, 2019
IMPORTANCE: Detection of early onset neovascular age-related macular degeneration (AMD) is critical to protecting vision.
Middle Aged Diagnosis, Computer-Assisted Humans Deep Learning Algorithms ROC Curve Retrospective Studies Predictive Value of Tests Visual Acuity Female Fluorescein Angiography Area Under Curve Reproducibility of Results Fundus Oculi Sensitivity and Specificity Wet Macular Degeneration False Positive Reactions Male Photography Ophthalmologists Choroidal Neovascularization
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Quantitative EEG reactivity and machine learning for prognostication in hypoxic-ischemic brain injury.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology Jul 25, 2019
OBJECTIVE: Electroencephalogram (EEG) reactivity is a robust predictor of neurological recovery after cardiac arrest, however interrater-agreement among electroencephalographers is limited. We sought to evaluate the performance of machine learning me...
Middle Aged Electroencephalography Hypoxia-Ischemia, Brain Female Humans Aged Machine Learning Adult Prognosis Male Retrospective Studies
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Machine Learning Models in Type 2 Diabetes Risk Prediction: Results from a Cross-sectional Retrospective Study in Chinese Adults.

Current medical science Jul 25, 2019
Type 2 diabetes mellitus (T2DM) has become a prevalent health problem in China, especially in urban areas. Early prevention strategies are needed to reduce the associated mortality and morbidity. We applied the combination of rules and different mach...
Cross-Sectional Studies Male Risk Assessment China Humans Retrospective Studies Diabetes Mellitus, Type 2 Machine Learning Female Adult
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Spread of α-synuclein pathology through the brain connectome is modulated by selective vulnerability and predicted by network analysis.

Nature neuroscience Jul 25, 2019
Studies of patients afflicted by neurodegenerative diseases suggest that misfolded proteins spread through the brain along anatomically connected networks, prompting progressive decline. Recently, mouse models have recapitulated the cell-to-cell tran...
Cell Death Linear Models Connectome Leucine-Rich Repeat Serine-Threonine Protein Kinase-2 Female Animals Male Mice Brain Mapping alpha-Synuclein Neurons Models, Neurological Mice, Inbred C57BL Neural Networks, Computer Brain
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Convolutional Neural Network for Automated FLAIR Lesion Segmentation on Clinical Brain MR Imaging.

AJNR. American journal of neuroradiology Jul 25, 2019
BACKGROUND AND PURPOSE: Most brain lesions are characterized by hyperintense signal on FLAIR. We sought to develop an automated deep learning-based method for segmentation of abnormalities on FLAIR and volumetric quantification on clinical brain MRIs...
Humans Retrospective Studies Female Aged Aged, 80 and over Middle Aged Deep Learning Adolescent Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Young Adult Adult Sensitivity and Specificity Male Brain Diseases Neuroimaging
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Comparisons among Machine Learning Models for the Prediction of Hypercholestrolemia Associated with Exposure to Lead, Mercury, and Cadmium.

International journal of environmental research and public health Jul 25, 2019
Lead, mercury, and cadmium are common environmental pollutants in industrialized countries, but their combined impact on hypercholesterolemia (HC) is poorly understood. The aim of this study was to compare the performance of various machine learning ...
Adult Male Middle Aged ROC Curve Lead Decision Trees Environmental Pollutants Logistic Models Support Vector Machine Machine Learning Forecasting Republic of Korea Female Environmental Exposure Mercury Cadmium Humans Hypercholesterolemia
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