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Coupled convolution layer for convolutional neural network.

Neural networks : the official journal of the International Neural Network Society May 16, 2018
We propose a coupled convolution layer comprising multiple parallel convolutions with mutually constrained filters. Inspired by biological human vision mechanism, we constrain the convolution filters such that one set of filter weights should be geom...
Machine Learning Models, Neurological Retinal Neurons Humans Neural Networks, Computer
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Modeling Dengue vector population using remotely sensed data and machine learning.

Acta tropica May 16, 2018
Mosquitoes are vectors of many human diseases. In particular, Aedes ægypti (Linnaeus) is the main vector for Chikungunya, Dengue, and Zika viruses in Latin America and it represents a global threat. Public health policies that aim at combating this v...
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Mosquito Vectors Dengue Oviposition Humans Animals Models, Biological Machine Learning Remote Sensing Technology Aedes Female
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Machine learning: a useful radiological adjunct in determination of a newly diagnosed glioma's grade and IDH status.

Journal of neuro-oncology May 16, 2018
INTRODUCTION: Machine learning methods have been introduced as a computer aided diagnostic tool, with applications to glioma characterisation on MRI. Such an algorithmic approach may provide a useful adjunct for a rapid and accurate diagnosis of a gl...
Glioma Follow-Up Studies Magnetic Resonance Imaging Middle Aged ROC Curve Image Processing, Computer-Assisted Neoplasm Grading Mutation Isocitrate Dehydrogenase Retrospective Studies Female Aged Adult Brain Neoplasms Humans Male Machine Learning Algorithms
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Statistical and artificial neural network-based analysis to understand complexity and heterogeneity in preeclampsia.

Computational biology and chemistry May 16, 2018
Preeclampsia is a pregnancy associated disease. It is characterized by high blood pressure and symptoms that are indicative of damage to other organ systems, most often involving the liver and kidneys. If left untreated, the condition could be fatal ...
Humans Neural Networks, Computer Machine Learning Pre-Eclampsia Pregnancy Female
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Deep Patient Similarity Learning for Personalized Healthcare.

IEEE transactions on nanobioscience May 16, 2018
Predicting patients' risk of developing certain diseases is an important research topic in healthcare. Accurately identifying and ranking the similarity among patients based on their historical records is a key step in personalized healthcare. The el...
Models, Statistical Precision Medicine Electronic Health Records Deep Learning Computational Biology Humans Algorithms
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Segmentation of histological images and fibrosis identification with a convolutional neural network.

Computers in biology and medicine May 16, 2018
Segmentation of histological images is one of the most crucial tasks for many biomedical analyses involving quantification of certain tissue types, such as fibrosis via Masson's trichrome staining. However, challenges are posed by the high variabilit...
Humans Heart Diseases Image Interpretation, Computer-Assisted Neural Networks, Computer Histocytochemistry Deep Learning Fibrosis
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Simulation of patient flow in multiple healthcare units using process and data mining techniques for model identification.

Journal of biomedical informatics May 16, 2018
INTRODUCTION: An approach to building a hybrid simulation of patient flow is introduced with a combination of data-driven methods for automation of model identification. The approach is described with a conceptual framework and basic methods for comb...
Computer Simulation Electronic Health Records Cluster Analysis Medical Informatics Russia Humans Critical Pathways Workflow Machine Learning Cloud Computing Data Mining Acute Coronary Syndrome
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Reliability, validity and discriminant ability of the instrumental indices provided by a novel planar robotic device for upper limb rehabilitation.

Journal of neuroengineering and rehabilitation May 16, 2018
BACKGROUND: In the last few years, there has been an increasing interest in the use of robotic devices to objectively quantify motor performance of patients after brain damage. Although these robot-derived measures can potentially add meaningful info...
Humans Female Reproducibility of Results Aged Motor Activity Upper Extremity Robotics Stroke Rehabilitation Stroke Outcome Assessment, Health Care Cross-Sectional Studies Male Middle Aged
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Visualizing histopathologic deep learning classification and anomaly detection using nonlinear feature space dimensionality reduction.

BMC bioinformatics May 16, 2018
BACKGROUND: There is growing interest in utilizing artificial intelligence, and particularly deep learning, for computer vision in histopathology. While accumulating studies highlight expert-level performance of convolutional neural networks (CNNs) o...
Deep Learning Artificial Intelligence Machine Learning Humans Neural Networks, Computer
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Automated and real-time segmentation of suspicious breast masses using convolutional neural network.

PloS one May 16, 2018
In this work, a computer-aided tool for detection was developed to segment breast masses from clinical ultrasound (US) scans. The underlying Multi U-net algorithm is based on convolutional neural networks. Under the Mayo Clinic Institutional Review B...
Carcinoma, Intraductal, Noninfiltrating Aged, 80 and over Pattern Recognition, Automated Young Adult Carcinoma, Ductal, Breast Adult Carcinoma, Lobular Mammography Prospective Studies Breast Neoplasms Humans Ultrasonography, Mammary Female Middle Aged Neural Networks, Computer Aged Breast Image Processing, Computer-Assisted Algorithms
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