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3-D Consistent and Robust Segmentation of Cardiac Images by Deep Learning With Spatial Propagation.

IEEE transactions on medical imaging Mar 29, 2018
We propose a method based on deep learning to perform cardiac segmentation on short axis Magnetic resonance imaging stacks iteratively from the top slice (around the base) to the bottom slice (around the apex). At each iteration, a novel variant of t...
Heart Ventricles Cardiac Imaging Techniques Imaging, Three-Dimensional Magnetic Resonance Imaging Humans Deep Learning
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Abnormal brain structure as a potential biomarker for venous erectile dysfunction: evidence from multimodal MRI and machine learning.

European radiology Mar 29, 2018
OBJECTIVES: To investigate the cerebral structural changes related to venous erectile dysfunction (VED) and the relationship of these changes to clinical symptoms and disorder duration and distinguish patients with VED from healthy controls using a m...
Humans Machine Learning Magnetic Resonance Imaging Brain Mapping Multimodal Imaging Brain Diseases Erectile Dysfunction Diffusion Tensor Imaging Adult Sensitivity and Specificity Male Biomarkers Brain Reproducibility of Results
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Using human brain activity to guide machine learning.

Scientific reports Mar 29, 2018
Machine learning is a field of computer science that builds algorithms that learn. In many cases, machine learning algorithms are used to recreate a human ability like adding a caption to a photo, driving a car, or playing a game. While the human bra...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Machine Learning Brain
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Supervised Learning Classifiers for Electrical Impedance-based Bladder State Detection.

Scientific reports Mar 29, 2018
Urinary Incontinence affects over 200 million people worldwide, severely impacting the quality of life of individuals. Bladder state detection technology has the potential to improve the lives of people with urinary incontinence by alerting the user ...
Humans Electric Impedance Computer Simulation Urinary Bladder Support Vector Machine Models, Biological Urinary Incontinence
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Empirical radio propagation model for DTV applied to non-homogeneous paths and different climates using machine learning techniques.

PloS one Mar 29, 2018
The establishment and improvement of transmission systems rely on models that take into account, (among other factors), the geographical features of the region, as these can lead to signal degradation. This is particularly important in Brazil, where ...
Seasons Brazil Humans Television Time Factors Machine Learning Radio Waves Models, Theoretical
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Using support vector machines on photoplethysmographic signals to discriminate between hypovolemia and euvolemia.

PloS one Mar 29, 2018
Identifying trauma patients at risk of imminent hemorrhagic shock is a challenging task in intraoperative and battlefield settings given the variability of traditional vital signs, such as heart rate and blood pressure, and their inability to detect ...
Photoplethysmography Humans Support Vector Machine Algorithms Water-Electrolyte Imbalance Female Hemorrhage Blood Volume Wounds and Injuries Hypovolemia Adult Male Case-Control Studies
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Comparison of Natural Language Processing Rules-based and Machine-learning Systems to Identify Lumbar Spine Imaging Findings Related to Low Back Pain.

Academic radiology Mar 28, 2018
RATIONALE AND OBJECTIVES: To evaluate a natural language processing (NLP) system built with open-source tools for identification of lumbar spine imaging findings related to low back pain on magnetic resonance and x-ray radiology reports from four hea...
Lumbar Vertebrae Low Back Pain Magnetic Resonance Imaging Natural Language Processing Radiography Middle Aged Cohort Studies Female Aged Aged, 80 and over Adult Sensitivity and Specificity Male Humans Machine Learning
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Relative location prediction in CT scan images using convolutional neural networks.

Computer methods and programs in biomedicine Mar 28, 2018
BACKGROUND AND OBJECTIVE: Relative location prediction in computed tomography (CT) scan images is a challenging problem. Many traditional machine learning methods have been applied in attempts to alleviate this problem. However, the accuracy and spee...
Neural Networks, Computer Machine Learning Algorithms Databases, Factual Humans Radiographic Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Female Male Neck Regression Analysis
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Editorial Comment.

The Journal of urology Mar 28, 2018
Robotic Surgical Procedures Biopsy Penis Humans Male Lymph Node Excision Robotics
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Editorial Comment.

The Journal of urology Mar 28, 2018
Humans Male Lymph Node Excision Penis Robotics Robotic Surgical Procedures Biopsy
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