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Deep Convolutional Hashing for Low-Dimensional Binary Embedding of Histopathological Images.

IEEE journal of biomedical and health informatics Apr 16, 2018
Compact binary representations of histopa-thology images using hashing methods provide efficient approximate nearest neighbor search for direct visual query in large-scale databases. They can be utilized to measure the probability of the abnormality ...
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Lung Deep Learning Lung Neoplasms Image Processing, Computer-Assisted Humans Histological Techniques Databases, Factual
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Computer-aided diagnosis of prostate cancer using a deep convolutional neural network from multiparametric MRI.

Journal of magnetic resonance imaging : JMRI Apr 16, 2018
BACKGROUND: Deep learning is the most promising methodology for automatic computer-aided diagnosis of prostate cancer (PCa) with multiparametric MRI (mp-MRI).
Male Diagnosis, Computer-Assisted Deep Learning Reproducibility of Results Sensitivity and Specificity Prostatic Neoplasms Pattern Recognition, Automated Diffusion Magnetic Resonance Imaging Predictive Value of Tests Area Under Curve Humans Databases, Factual Neural Networks, Computer ROC Curve Retrospective Studies Software
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Effect of dilution in asymmetric recurrent neural networks.

Neural networks : the official journal of the International Neural Network Society Apr 16, 2018
We study with numerical simulation the possible limit behaviors of synchronous discrete-time deterministic recurrent neural networks composed of N binary neurons as a function of a network's level of dilution and asymmetry. The network dilution measu...
Hippocampus Neocortex Machine Learning Learning Models, Neurological Humans Neural Networks, Computer
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A frequency-domain approach to improve ANNs generalization quality via proper initialization.

Neural networks : the official journal of the International Neural Network Society Apr 16, 2018
The ability to train a network without memorizing the input/output data, thereby allowing a good predictive performance when applied to unseen data, is paramount in ANN applications. In this paper, we propose a frequency-domain approach to evaluate t...
Neural Networks, Computer Machine Learning Humans
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What You Measure Depends on the Tool You Use: A Short Step from Incorrect Measurements to Fake Data.

European urology Apr 16, 2018
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Prostatectomy Seminal Vesicles Humans Robotics Male Urology
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ESMAC BEST PAPER 2017: Using machine learning to overcome challenges in GMFCS level assignment.

Gait & posture Apr 16, 2018
We used the random forest classifier to predict Gross Motor Function Classification System (GMFCS) levels I-IV from patient reported abilities recorded on the Gillette Functional Assessment Questionnaire (FAQ). The classifier exhibited outstanding ac...
Surveys and Questionnaires Adolescent Child, Preschool Female Machine Learning Cerebral Palsy Child Activities of Daily Living Male Retrospective Studies Motor Skills Disability Evaluation Humans
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Handwritten dynamics assessment through convolutional neural networks: An application to Parkinson's disease identification.

Artificial intelligence in medicine Apr 16, 2018
BACKGROUND AND OBJECTIVE: Parkinson's disease (PD) is considered a degenerative disorder that affects the motor system, which may cause tremors, micrography, and the freezing of gait. Although PD is related to the lack of dopamine, the triggering pro...
Gait Disorders, Neurologic Deep Learning Humans Neural Networks, Computer Parkinson Disease Handwriting
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Deep learning improves prediction of drug-drug and drug-food interactions.

Proceedings of the National Academy of Sciences of the United States of America Apr 16, 2018
Drug interactions, including drug-drug interactions (DDIs) and drug-food constituent interactions (DFIs), can trigger unexpected pharmacological effects, including adverse drug events (ADEs), with causal mechanisms often unknown. Several computationa...
Data Mining Food-Drug Interactions Humans Neural Networks, Computer Databases, Factual
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Human Activity Recognition from Body Sensor Data using Deep Learning.

Journal of medical systems Apr 16, 2018
In recent years, human activity recognition from body sensor data or wearable sensor data has become a considerable research attention from academia and health industry. This research can be useful for various e-health applications such as monitoring...
Remote Sensing Technology Exercise Test Monitoring, Ambulatory Algorithms Reproducibility of Results Movement Neural Networks, Computer Machine Learning Humans
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Accurate identification of RNA editing sites from primitive sequence with deep neural networks.

Scientific reports Apr 16, 2018
RNA editing is a post-transcriptional RNA sequence alteration. Current methods have identified editing sites and facilitated research but require sufficient genomic annotations and prior-knowledge-based filtering steps, resulting in a cumbersome, tim...
Animals Deep Learning Genomics Humans Drosophila Gene Expression Regulation, Developmental RNA Editing Sequence Analysis, RNA RNA
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