AIMC Topic: Datasets as Topic

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Detecting abnormal thyroid cartilages on CT using deep learning.

Diagnostic and interventional imaging Feb 25, 2019
PURPOSE: The purpose of this study was to evaluate the performance of a deep learning algorithm in detecting abnormalities of thyroid cartilage from computed tomography (CT) examination.
Datasets as Topic Thyroid Cartilage Deep Learning Thyroid Neoplasms Neoplasm Invasiveness Humans Algorithms Tomography, X-Ray Computed Sensitivity and Specificity
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Comprehensive and Empirical Evaluation of Machine Learning Algorithms for Small Molecule LC Retention Time Prediction.

Analytical chemistry Feb 14, 2019
Liquid chromatography is a core component of almost all mass spectrometric analyses of (bio)molecules. Because of the high-throughput nature of mass spectrometric analyses, the interpretation of these chromatographic data increasingly relies on infor...
Mass Spectrometry Chromatography, Liquid Datasets as Topic Machine Learning Algorithms Models, Theoretical
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Surface-Electromyography-Based Gesture Recognition by Multi-View Deep Learning.

IEEE transactions on bio-medical engineering Feb 13, 2019
Gesture recognition using sparse multichannel surface electromyography (sEMG) is a challenging problem, and the solutions are far from optimal from the point of view of muscle-computer interface. In this paper, we address this problem from the contex...
User-Computer Interface Electromyography Datasets as Topic Humans Deep Learning Gestures
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Attention gated networks: Learning to leverage salient regions in medical images.

Medical image analysis Feb 5, 2019
We propose a novel attention gate (AG) model for medical image analysis that automatically learns to focus on target structures of varying shapes and sizes. Models trained with AGs implicitly learn to suppress irrelevant regions in an input image whi...
Humans Pregnancy Female Ultrasonography, Prenatal Neural Networks, Computer Algorithms Tomography, X-Ray Computed Radiography, Abdominal Imaging, Three-Dimensional Image Interpretation, Computer-Assisted Datasets as Topic
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Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy.

Medical image analysis Feb 2, 2019
In recent years, endomicroscopy has become increasingly used for diagnostic purposes and interventional guidance. It can provide intraoperative aids for real-time tissue characterization and can help to perform visual investigations aimed for example...
Colon Humans Microscopy, Confocal Esophagus Algorithms Unsupervised Machine Learning Video Recording Datasets as Topic
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Effect of incremental feature enrichment on healthcare text classification system: A machine learning paradigm.

Computer methods and programs in biomedicine Feb 1, 2019
BACKGROUND AND OBJECTIVE: Healthcare tweets are particularly challenging due to its sparse layout and its limited character size. Compared to previous method based on "bag of words" (BOW) model, this study uniquely identifies the enrichment protocol ...
Information Storage and Retrieval Semantics Machine Learning Support Vector Machine Social Media Algorithms Datasets as Topic Delivery of Health Care Models, Theoretical
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In silico prediction of chemical reproductive toxicity using machine learning.

Journal of applied toxicology : JAT Jan 27, 2019
Reproductive toxicity is an important regulatory endpoint in health hazard assessment. Because the in vivo tests are expensive, time consuming and require a large number of animals, which must be killed, in silico approaches as the alternative strate...
Reproduction Datasets as Topic Machine Learning Computer Simulation Animals Structure-Activity Relationship
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An ensemble long short-term memory neural network for hourly PM concentration forecasting.

Chemosphere Jan 25, 2019
To protect public health by providing an early warning, PM concentration forecasting is an essential and effective work. In this paper, an ensemble long short-term memory neural network (E-LSTM) is proposed for hourly PM concentration forecasting. Th...
Datasets as Topic Beijing Neural Networks, Computer China Forecasting Environmental Monitoring Particulate Matter
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Molecular and epigenetic profiles of BRCA1-like hormone-receptor-positive breast tumors identified with development and application of a copy-number-based classifier.

Breast cancer research : BCR Jan 25, 2019
BACKGROUND: BRCA1-mutated cancers exhibit deficient homologous recombination (HR) DNA repair, resulting in extensive copy number alterations and genome instability. HR deficiency can also arise in tumors without a BRCA1 mutation. Compared with other ...
Receptors, Estrogen Female Receptors, Progesterone Aged BRCA1 Protein Support Vector Machine Adult Datasets as Topic Breast Neoplasms Homologous Recombination DNA Methylation CpG Islands Humans Middle Aged Breast DNA Copy Number Variations Promoter Regions, Genetic Epigenomics Survival Analysis
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Quantitative design rules for protein-resistant surface coatings using machine learning.

Scientific reports Jan 22, 2019
Preventing biological contamination (biofouling) is key to successful development of novel surface and nanoparticle-based technologies in the manufacturing industry and biomedicine. Protein adsorption is a crucial mediator of the interactions at the ...
Machine Learning Nanoparticles Surface Properties Muramidase Biofouling Immobilized Proteins Fibrinogen Models, Chemical Datasets as Topic Equipment Design Linear Models Polymers
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