AIMC Topic:
Databases, Factual
Clear Filters Showing 2141 to 2150 of 2956 articles
Crowdsourcing dermatology: DataDerm, big data analytics, and machine learning technology.
Journal of the American Academy of Dermatology
Oct 15, 2017
A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction.
IEEE transactions on medical imaging
Oct 13, 2017
Inspired by recent advances in deep learning, we propose a framework for reconstructing dynamic sequences of 2-D cardiac magnetic resonance (MR) images from undersampled data using a deep cascade of convolutional neural networks (CNNs) to accelerate ...
Feature selection method based on support vector machine and shape analysis for high-throughput medical data.
Computers in biology and medicine
Oct 12, 2017
Proteomics data analysis based on the mass-spectrometry technique can provide a powerful tool for early diagnosis of tumors and other diseases. It can be used for exploring the features that reflect the difference between samples from high-throughput...
The Liver Toxicity Knowledge Base (LKTB) and drug-induced liver injury (DILI) classification for assessment of human liver injury.
Expert review of gastroenterology & hepatology
Oct 9, 2017
Drug-induced liver injury (DILI) is challenging for drug development, clinical practice and regulation. The Liver Toxicity Knowledge Base (LTKB) provides essential data for DILI study. Areas covered: The LTKB provided various types of data that can b...
Predicting Organ Toxicity Using in Vitro Bioactivity Data and Chemical Structure.
Chemical research in toxicology
Oct 9, 2017
Animal testing alone cannot practically evaluate the health hazard posed by tens of thousands of environmental chemicals. Computational approaches making use of high-throughput experimental data may provide more efficient means to predict chemical to...
Early hospital mortality prediction of intensive care unit patients using an ensemble learning approach.
International journal of medical informatics
Oct 5, 2017
BACKGROUND: Mortality prediction of hospitalized patients is an important problem. Over the past few decades, several severity scoring systems and machine learning mortality prediction models have been developed for predicting hospital mortality. By ...
Z-Index Parameterization for Volumetric CT Image Reconstruction via 3-D Dictionary Learning.
IEEE transactions on medical imaging
Oct 5, 2017
Despite the rapid developments of X-ray cone-beam CT (CBCT), image noise still remains a major issue for the low dose CBCT. To suppress the noise effectively while retain the structures well for low dose CBCT image, in this paper, a sparse constraint...
Querying clinical data in HL7 RIM based relational model with morph-RDB.
Journal of biomedical semantics
Oct 5, 2017
BACKGROUND: Semantic interoperability is essential when carrying out post-genomic clinical trials where several institutions collaborate, since researchers and developers need to have an integrated view and access to heterogeneous data sources. One p...
Detection of Sources in Non-Negative Blind Source Separation by Minimum Description Length Criterion.
IEEE transactions on neural networks and learning systems
Oct 3, 2017
While non-negative blind source separation (nBSS) has found many successful applications in science and engineering, model order selection, determining the number of sources, remains a critical yet unresolved problem. Various model order selection me...
Low-Dose Lung CT Image Restoration Using Adaptive Prior Features From Full-Dose Training Database.
IEEE transactions on medical imaging
Sep 27, 2017
The valuable structure features in full-dose computed tomography (FdCT) scans can be exploited as prior knowledge for low-dose CT (LdCT) imaging. However, lacking the capability to represent local characteristics of interested structures of the LdCT ...
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