AIMC Topic:
Databases, Factual

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Joint Segment-Level and Pixel-Wise Losses for Deep Learning Based Retinal Vessel Segmentation.

IEEE transactions on bio-medical engineering Apr 19, 2018
OBJECTIVE: Deep learning based methods for retinal vessel segmentation are usually trained based on pixel-wise losses, which treat all vessel pixels with equal importance in pixel-to-pixel matching between a predicted probability map and the correspo...
Retinal Vessels Deep Learning Image Interpretation, Computer-Assisted Diagnostic Techniques, Ophthalmological Humans Algorithms Databases, Factual
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Network analysis of empathy items from the interpersonal reactivity index in 1973 young adults.

Psychiatry research Apr 19, 2018
The aim of this work is to perform a network analysis on the French adaptation of the interpersonal reactivity index (IRI) scale from a large Belgian database and provide additional information for the construct of empathy. We analyze a database of 1...
Adolescent Belgium Interpersonal Relations Young Adult Adult Male Empathy Humans Neural Networks, Computer Algorithms Databases, Factual Female
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Segmentation of corneal endothelium images using a U-Net-based convolutional neural network.

Artificial intelligence in medicine Apr 19, 2018
Diagnostic information regarding the health status of the corneal endothelium may be obtained by analyzing the size and the shape of the endothelial cells in specular microscopy images. Prior to the analysis, the endothelial cells need to be extracte...
Databases, Factual Reproducibility of Results Predictive Value of Tests Microscopy Humans Neural Networks, Computer Cell Size Endothelium, Corneal Image Interpretation, Computer-Assisted Endothelial Cells Cell Shape
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Computer-aided diagnosis of lung nodule using gradient tree boosting and Bayesian optimization.

PloS one Apr 19, 2018
We aimed to evaluate a computer-aided diagnosis (CADx) system for lung nodule classification focussing on (i) usefulness of the conventional CADx system (hand-crafted imaging feature + machine learning algorithm), (ii) comparison between support vect...
Support Vector Machine Solitary Pulmonary Nodule Area Under Curve Humans ROC Curve Machine Learning Image Processing, Computer-Assisted Bayes Theorem Algorithms Lung Neoplasms Databases, Factual Tomography, X-Ray Computed Diagnosis, Computer-Assisted
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Using machine learning on cardiorespiratory fitness data for predicting hypertension: The Henry Ford ExercIse Testing (FIT) Project.

PloS one Apr 18, 2018
This study evaluates and compares the performance of different machine learning techniques on predicting the individuals at risk of developing hypertension, and who are likely to benefit most from interventions, using the cardiorespiratory fitness da...
Hypertension Support Vector Machine Area Under Curve Cardiorespiratory Fitness Bayes Theorem Exercise Test Male Middle Aged Adolescent Aged, 80 and over Young Adult Adult Machine Learning Humans Databases, Factual Female Neural Networks, Computer Aged
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On the Reconstruction of Face Images from Deep Face Templates.

IEEE transactions on pattern analysis and machine intelligence Apr 16, 2018
State-of-the-art face recognition systems are based on deep (convolutional) neural networks. Therefore, it is imperative to determine to what extent face templates derived from deep networks can be inverted to obtain the original face image. In this ...
Humans Neural Networks, Computer Algorithms Face Biometric Identification Databases, Factual Image Processing, Computer-Assisted
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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 ...
Humans Image Processing, Computer-Assisted Lung Neoplasms Histological Techniques Databases, Factual Lung Deep Learning
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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).
Sensitivity and Specificity Male Diagnosis, Computer-Assisted Databases, Factual Retrospective Studies Area Under Curve Reproducibility of Results Neural Networks, Computer Prostatic Neoplasms Humans Software Pattern Recognition, Automated Deep Learning Diffusion Magnetic Resonance Imaging ROC Curve Predictive Value of Tests
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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...
Neural Networks, Computer Databases, Factual Data Mining Food-Drug Interactions Humans
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Improving the 'Fitness for Purpose' of Common Data Models through Realism Based Ontology.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
Common data models are designed and built based on requirements that are aimed towards fitness for purpose. But when common data models are used as lenses through which reality is observed from the perspective according to which they are built, then ...
Information Storage and Retrieval Databases, Factual Biological Ontologies Electronic Health Records Common Data Elements Big Data
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