AIMC Topic: Databases as Topic

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Reverse active learning based atrous DenseNet for pathological image classification.

BMC bioinformatics Aug 28, 2019
BACKGROUND: Due to the recent advances in deep learning, this model attracted researchers who have applied it to medical image analysis. However, pathological image analysis based on deep learning networks faces a number of challenges, such as the hi...
Databases as Topic Image Processing, Computer-Assisted Models, Theoretical Humans Algorithms Neoplasms Deep Learning Reproducibility of Results
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The Helitron family classification using SVM based on Fourier transform features applied on an unbalanced dataset.

Medical & biological engineering & computing Aug 17, 2019
Helitrons are mobile sequences which belong to the class 2 of eukaryotic transposons. Their specificity resides in their mechanism of transposition: the rolling circle mechanism. They play an important role in remodeling proteomes due to their abilit...
Animals Support Vector Machine Databases as Topic Fourier Analysis Chromosomes Caenorhabditis elegans Genome, Helminth
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Machine Learning Model for Imbalanced Cholera Dataset in Tanzania.

TheScientificWorldJournal Jul 25, 2019
Cholera epidemic remains a public threat throughout history, affecting vulnerable population living with unreliable water and substandard sanitary conditions. Various studies have observed that the occurrence of cholera has strong linkage with enviro...
Seasons Databases as Topic Rain Cholera Humans World Health Organization Tanzania Machine Learning
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Chemical-induced disease relation extraction via attention-based distant supervision.

BMC bioinformatics Jul 22, 2019
BACKGROUND: Automatically understanding chemical-disease relations (CDRs) is crucial in various areas of biomedical research and health care. Supervised machine learning provides a feasible solution to automatically extract relations between biomedic...
Workflow Supervised Machine Learning Databases as Topic Algorithms Databases, Factual Disease Toxicogenetics Humans Neural Networks, Computer
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StomataCounter: a neural network for automatic stomata identification and counting.

The New phytologist Jul 4, 2019
Stomata regulate important physiological processes in plants and are often phenotyped by researchers in diverse fields of plant biology. Currently, there are no user-friendly, fully automated methods to perform the task of identifying and counting st...
Humans Neural Networks, Computer Phylogeny Automation Linear Models Plant Stomata Image Processing, Computer-Assisted Databases as Topic
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Improved Classification of Blood-Brain-Barrier Drugs Using Deep Learning.

Scientific reports Jun 19, 2019
Blood-Brain-Barrier (BBB) is a strict permeability barrier for maintaining the Central Nervous System (CNS) homeostasis. One of the most important conditions to judge a CNS drug is to figure out whether it has BBB permeability or not. In the past 20 ...
Reproducibility of Results Blood-Brain Barrier ROC Curve Support Vector Machine Pharmaceutical Preparations Humans Deep Learning Databases as Topic
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Deep Learning for the Radiographic Detection of Periodontal Bone Loss.

Scientific reports Jun 11, 2019
We applied deep convolutional neural networks (CNNs) to detect periodontal bone loss (PBL) on panoramic dental radiographs. We synthesized a set of 2001 image segments from panoramic radiographs. Our reference test was the measured % of PBL. A deep f...
ROC Curve Radiography Dentists Alveolar Bone Loss Humans Databases as Topic Reproducibility of Results Deep Learning
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Ventricular ectopic beat detection using a wavelet transform and a convolutional neural network.

Physiological measurement Jun 4, 2019
OBJECTIVE: Ventricular contractions in healthy individuals normally follow the contractions of atria to facilitate more efficient pump action and cardiac output. With a ventricular ectopic beat (VEB), volume within the ventricles are pumped to the bo...
Databases as Topic Ventricular Premature Complexes Wavelet Analysis Algorithms Electrocardiography Humans Neural Networks, Computer
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An application of convolutional neural networks with salient features for relation classification.

BMC bioinformatics May 29, 2019
BACKGROUND: Due to the advent of deep learning, the increasing number of studies in the biomedical domain has attracted much interest in feature extraction and classification tasks. In this research, we seek the best combination of feature set and hy...
Databases as Topic Algorithms Models, Theoretical Neural Networks, Computer
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FusionAtt: Deep Fusional Attention Networks for Multi-Channel Biomedical Signals.

Sensors (Basel, Switzerland) May 28, 2019
Recently, pervasive sensing technologies have been widely applied to comprehensive patient monitoring in order to improve clinical treatment. Various types of biomedical signals collected by different sensing channels provide different aspects of pat...
ROC Curve Support Vector Machine Electroencephalography Databases as Topic Humans Neural Networks, Computer Biomedical Technology Algorithms Signal Processing, Computer-Assisted Attention
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