AIMC Topic: Neural Networks, Computer

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Real-world applications of deep convolutional neural networks in diagnostic cancer imaging.

Chinese clinical oncology Feb 1, 2020
Algorithms Neoplasms Diagnostic Imaging Humans Neural Networks, Computer Artificial Intelligence
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Evaluation of machine learning methods to stroke outcome prediction using a nationwide disease registry.

Computer methods and programs in biomedicine Feb 1, 2020
INTRODUCTION: Being able to predict functional outcomes after a stroke is highly desirable for clinicians. This allows clinicians to set reasonable goals with patients and relatives, and to reach shared after-care decisions for recovery or rehabilita...
Humans Forecasting Female Aged Neural Networks, Computer Artificial Intelligence Machine Learning Physical Functional Performance Stroke Rehabilitation Outcome and Process Assessment, Health Care Male Middle Aged Support Vector Machine Taiwan Registries Stroke
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Neuromodulated attention and goal-driven perception in uncertain domains.

Neural networks : the official journal of the International Neural Network Society Feb 1, 2020
In uncertain domains, the goals are often unknown and need to be predicted by the organism or system. In this paper, contrastive Excitation Backprop (c-EB) was used in two goal-driven perception tasks - one with pairs of noisy MNIST digits and the ot...
Perception Uncertainty Reaction Time Attention Goals Humans Neural Networks, Computer Models, Neurological
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Precision Psychiatry Applications with Pharmacogenomics: Artificial Intelligence and Machine Learning Approaches.

International journal of molecular sciences Feb 1, 2020
A growing body of evidence now suggests that precision psychiatry, an interdisciplinary field of psychiatry, precision medicine, and pharmacogenomics, serves as an indispensable foundation of medical practices by offering the accurate medication with...
Humans Neural Networks, Computer Artificial Intelligence Precision Medicine Pharmacogenetics Interdisciplinary Studies Machine Learning Algorithms Mental Disorders
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Towards Domain Invariant Heart Sound Abnormality Detection Using Learnable Filterbanks.

IEEE journal of biomedical and health informatics Jan 31, 2020
OBJECTIVE: Cardiac auscultation is the most practiced non-invasive and cost-effective procedure for the early diagnosis of heart diseases. While machine learning based systems can aid in automatically screening patients, the robustness of these syste...
Heart Sounds Neural Networks, Computer Phonocardiography Algorithms Sensitivity and Specificity Databases, Factual Signal Processing, Computer-Assisted Heart Diseases Humans
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Deep Neural Networks for Chronological Age Estimation From OPG Images.

IEEE transactions on medical imaging Jan 31, 2020
Chronological age estimation is crucial labour in many clinical procedures, where the teeth have proven to be one of the best estimators. Although some methods to estimate the age from tooth measurements in orthopantomogram (OPG) images have been dev...
Neural Networks, Computer Databases, Factual Female Aged Aged, 80 and over Young Adult Humans Child Infant Adult Adolescent Male Child, Preschool Middle Aged
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Robust min-max optimal control design for systems with uncertain models: A neural dynamic programming approach.

Neural networks : the official journal of the International Neural Network Society Jan 31, 2020
The design of an artificial neural network (ANN) based sub-optimal controller to solve the finite-horizon optimization problem for a class of systems with uncertainties is the main outcome of this study. The optimization problem considers a convex pe...
Computer Simulation Nonlinear Dynamics Humans Uncertainty Neural Networks, Computer
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Mu-net: Multi-scale U-net for two-photon microscopy image denoising and restoration.

Neural networks : the official journal of the International Neural Network Society Jan 31, 2020
Advances in two two-photon microscopy (2PM) have made three-dimensional (3D) neural imaging of deep cortical regions possible. However, 2PM often suffers from poor image quality because of various noise factors, including blur, white noise, and photo...
Neural Networks, Computer Image Processing, Computer-Assisted Software Signal-To-Noise Ratio Imaging, Three-Dimensional Microscopy, Fluorescence, Multiphoton
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A combined ultrasonic B-mode and color Doppler system for the classification of breast masses using neural network.

European radiology Jan 31, 2020
OBJECTIVES: To develop a dual-modal neural network model to characterize ultrasound (US) images of breast masses.
Radiologists Ultrasonography, Mammary Ultrasonography, Doppler, Color Middle Aged ROC Curve Area Under Curve Adult Sensitivity and Specificity Breast Neoplasms Humans Neural Networks, Computer Retrospective Studies Female Aged
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Comparing Logistic Regression Models with Alternative Machine Learning Methods to Predict the Risk of Drug Intoxication Mortality.

International journal of environmental research and public health Jan 31, 2020
(1) Medical research has shown an increasing interest in machine learning, permitting massive multivariate data analysis. Thus, we developed drug intoxication mortality prediction models, and compared machine learning models and traditional logistic ...
Risk Assessment Logistic Models Area Under Curve Neural Networks, Computer Machine Learning Mortality Republic of Korea Alcoholic Intoxication
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