AIMC Topic:
Databases, Factual
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Pathogen Identification Direct From Polymicrobial Specimens Using Membrane Glycolipids.
Scientific reports
Oct 26, 2018
With the increased prevalence of multidrug-resistant Gram-negative bacteria, the use of colistin and other last-line antimicrobials is being revisited clinically. As a result, there has been an emergence of colistin-resistant bacterial species, inclu...
RSDNet: Learning to Predict Remaining Surgery Duration from Laparoscopic Videos Without Manual Annotations.
IEEE transactions on medical imaging
Oct 25, 2018
Accurate surgery duration estimation is necessary for optimal OR planning, which plays an important role in patient comfort and safety as well as resource optimization. It is, however, challenging to preoperatively predict surgery duration since it v...
Is Machine Translation a Reliable Tool for Reading German Scientific Databases and Research Articles?
Journal of chemical information and modeling
Oct 25, 2018
A significant number of published databases and research papers exist in foreign languages and remain untranslated to date. Important sources of primary scientific information in German are Beilstein Handbuch der Organischen Chemie, Gmelin Handbuch d...
Unsupervised feature extraction by low-rank and sparsity preserving embedding.
Neural networks : the official journal of the International Neural Network Society
Oct 23, 2018
Manifold based feature extraction has been proved to be an effective technique in dealing with the unsupervised classification tasks. However, most of the existing works cannot guarantee the global optimum of the learned projection, and they are sens...
The possibility of the combination of OCT and fundus images for improving the diagnostic accuracy of deep learning for age-related macular degeneration: a preliminary experiment.
Medical & biological engineering & computing
Oct 22, 2018
Recently, researchers have built new deep learning (DL) models using a single image modality to diagnose age-related macular degeneration (AMD). Retinal fundus and optical coherence tomography (OCT) images in clinical settings are the most important ...
Sparse Representation Over Learned Dictionaries on the Riemannian Manifold for Automated Grading of Nuclear Pleomorphism in Breast Cancer.
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Oct 22, 2018
Breast cancer is found to be the most pervasive type of cancer among women. Computer aided detection and diagnosis of cancer at the initial stages can increase the chances of recovery and thus reduce the mortality rate through timely prognosis and ad...
A fully convolutional two-stream fusion network for interactive image segmentation.
Neural networks : the official journal of the International Neural Network Society
Oct 21, 2018
In this paper, we propose a novel fully convolutional two-stream fusion network (FCTSFN) for interactiveimage segmentation. The proposed network includes two sub-networks: a two-stream late fusion network (TSLFN) that predicts the foreground at a red...
Regression Convolutional Neural Network for Automated Pediatric Bone Age Assessment From Hand Radiograph.
IEEE journal of biomedical and health informatics
Oct 19, 2018
Skeletal bone age assessment is a common clinical practice to investigate endocrinology, and genetic and growth disorders of children. However, clinical interpretation and bone age analyses are time-consuming, labor intensive, and often subject to in...
Ensemble of machine learning algorithms using the stacked generalization approach to estimate the warfarin dose.
PloS one
Oct 19, 2018
Warfarin dosing remains challenging due to narrow therapeutic index and highly individual variability. Incorrect warfarin dosing is associated with devastating adverse events. Remarkable efforts have been made to develop the machine learning based wa...
Drug Administration Schedule
Multivariate Analysis
Male
Cohort Studies
International Cooperation
Databases, Factual
Humans
Middle Aged
Warfarin
Medical Errors
Polymorphism, Single Nucleotide
Linkage Disequilibrium
Female
Pharmacogenetics
Genotype
Machine Learning
Thrombosis
Vitamin K Epoxide Reductases
Aged
Algorithms
Hemorrhage
Anticoagulants
Aged, 80 and over
QFlow lite dataset: A machine-learning approach to the charge states in quantum dot experiments.
PloS one
Oct 17, 2018
BACKGROUND: Over the past decade, machine learning techniques have revolutionized how research and science are done, from designing new materials and predicting their properties to data mining and analysis to assisting drug discovery to advancing cyb...
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