AIMC Topic:
Databases, Factual

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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...
Humans Radiographic Image Interpretation, Computer-Assisted Neural Networks, Computer Neck Regression Analysis Tomography, X-Ray Computed Female Machine Learning Male Algorithms Databases, Factual
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Machine learning RF shimming: Prediction by iteratively projected ridge regression.

Magnetic resonance in medicine Mar 23, 2018
PURPOSE: To obviate online slice-by-slice RF shim optimization and reduce B1+ mapping requirements for patient-specific RF shimming in high-field magnetic resonance imaging.
Head Phantoms, Imaging Magnetic Resonance Imaging Supervised Machine Learning Algorithms Databases, Factual Brain Computer Simulation Image Processing, Computer-Assisted Humans
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Deep Attention-Based Spatially Recursive Networks for Fine-Grained Visual Recognition.

IEEE transactions on cybernetics Mar 22, 2018
Fine-grained visual recognition is an important problem in pattern recognition applications. However, it is a challenging task due to the subtle interclass difference and large intraclass variation. Recent visual attention models are able to automati...
Pattern Recognition, Automated Machine Learning Image Processing, Computer-Assisted Humans Algorithms Video Recording Neural Networks, Computer Databases, Factual
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An ensemble learning system for a 4-way classification of Alzheimer's disease and mild cognitive impairment.

Journal of neuroscience methods Mar 22, 2018
Discriminating Alzheimer's disease (AD) from its prodromal form, mild cognitive impairment (MCI), is a significant clinical problem that may facilitate early diagnosis and intervention, in which a more challenging issue is to classify MCI subtypes, i...
Image Interpretation, Computer-Assisted Pattern Recognition, Automated Magnetic Resonance Imaging Alzheimer Disease Databases, Factual Humans Machine Learning Aged Brain Male Female Cognitive Dysfunction
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A nonnegative matrix factorization algorithm based on a discrete-time projection neural network.

Neural networks : the official journal of the International Neural Network Society Mar 20, 2018
This paper presents an algorithm for nonnegative matrix factorization based on a biconvex optimization formulation. First, a discrete-time projection neural network is introduced. An upper bound of its step size is derived to guarantee the stability ...
Databases, Factual Time Factors Pattern Recognition, Automated Photic Stimulation Neural Networks, Computer Algorithms
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Learning from label proportions on high-dimensional data.

Neural networks : the official journal of the International Neural Network Society Mar 20, 2018
Learning from label proportions (LLP), in which the training data is in the form of bags and only the proportion of each class in each bag is available, has attracted wide interest in machine learning. However, how to solve high-dimensional LLP probl...
Machine Learning Algorithms Databases, Factual Photic Stimulation Pattern Recognition, Visual
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Utilizing Machine Learning and Automated Performance Metrics to Evaluate Robot-Assisted Radical Prostatectomy Performance and Predict Outcomes.

Journal of endourology Mar 20, 2018
PURPOSE: Surgical performance is critical for clinical outcomes. We present a novel machine learning (ML) method of processing automated performance metrics (APMs) to evaluate surgical performance and predict clinical outcomes after robot-assisted ra...
Algorithms Databases, Factual Aged Humans Machine Learning Prostatic Neoplasms Robotic Surgical Procedures Prostatectomy Male Middle Aged Operative Time
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A hybrid technique for speech segregation and classification using a sophisticated deep neural network.

PloS one Mar 20, 2018
Recent research on speech segregation and music fingerprinting has led to improvements in speech segregation and music identification algorithms. Speech and music segregation generally involves the identification of music followed by speech segregati...
Algorithms Humans Databases, Factual Neural Networks, Computer Speech Recognition Software
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Position-aware deep multi-task learning for drug-drug interaction extraction.

Artificial intelligence in medicine Mar 17, 2018
OBJECTIVE: A drug-drug interaction (DDI) is a situation in which a drug affects the activity of another drug synergistically or antagonistically when being administered together. The information of DDIs is crucial for healthcare professionals to prev...
Databases, Factual Data Mining Deep Learning Drug Interactions Drug-Related Side Effects and Adverse Reactions
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Detecting and classifying lesions in mammograms with Deep Learning.

Scientific reports Mar 15, 2018
In the last two decades, Computer Aided Detection (CAD) systems were developed to help radiologists analyse screening mammograms, however benefits of current CAD technologies appear to be contradictory, therefore they should be improved to be ultimat...
Humans Neural Networks, Computer Deep Learning Female ROC Curve Breast Neoplasms Mass Screening Diagnosis, Computer-Assisted Machine Learning Early Detection of Cancer Databases, Factual Mammography Data Accuracy
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