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Traditional machine learning for limited angle tomography.

International journal of computer assisted radiology and surgery Aug 22, 2018
PURPOSE: The application of traditional machine learning techniques, in the form of regression models based on conventional, "hand-crafted" features, to artifact reduction in limited angle tomography is investigated.
Algorithms Humans Tomography, X-Ray Computed Machine Learning Image Processing, Computer-Assisted Artifacts Phantoms, Imaging
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Quiet sleep detection in preterm infants using deep convolutional neural networks.

Journal of neural engineering Aug 22, 2018
OBJECTIVE: Neonates spend most of their time asleep. Sleep of preterm infants evolves rapidly throughout maturation and plays an important role in brain development. Since visual labelling of the sleep stages is a time consuming task, automated analy...
Female Infant, Newborn Male Neural Networks, Computer Algorithms Brain Automation Infant, Premature Sleep Stages Electroencephalography Wakefulness Sleep Humans
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Automatic polyp frame screening using patch based combined feature and dictionary learning.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Aug 22, 2018
Polyps in the colon can potentially become malignant cancer tissues where early detection and removal lead to high survival rate. Certain types of polyps can be difficult to detect even for highly trained physicians. Inspired by aforementioned proble...
Support Vector Machine Algorithms Humans Prostate Magnetic Resonance Imaging Brain Machine Learning Image Interpretation, Computer-Assisted Male Early Detection of Cancer Urinary Bladder
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Combinatorial Scoring of Phylogenetic Trees and Networks Based on Homoplasy-Free Characters.

Journal of computational biology : a journal of computational molecular cell biology Aug 22, 2018
Construction of phylogenetic trees and networks for extant species from their characters represents one of the key problems in phylogenomics. While solution to this problem is not always uniquely defined and there exist multiple methods for tree/netw...
Neural Networks, Computer Algorithms Phylogeny Humans Color Mathematical Concepts Child Computational Biology Models, Genetic
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Sequential Integration of Fuzzy Clustering and Expectation Maximization for Transcription Factor Binding Site Identification.

Journal of computational biology : a journal of computational molecular cell biology Aug 22, 2018
The identification of transcription factor binding sites (TFBSs) is a problem for which computational methods offer great hope. Thus far, the expectation maximization (EM) technique has been successfully utilized in finding TFBSs in DNA sequences, bu...
Humans Fuzzy Logic Cluster Analysis Binding Sites Nucleotide Motifs Computational Biology Algorithms Transcription Factors Chromatin Immunoprecipitation Protein Binding Sequence Analysis, DNA
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Artificial intelligence in stroke care: Deep learning or superficial insight?

EBioMedicine Aug 22, 2018
Artificial Intelligence Deep Learning Stroke Humans Neural Networks, Computer
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A marker-based contactless catheter-sensing method to detect surgeons' operations for catheterization training systems.

Biomedical microdevices Aug 22, 2018
It is challenging to position a catheter or a guidewire within a patient's complicated and delicate vascular structure due to the lack of intuitive visual feedback by only manipulating the proximal part of the surgical instruments. Training is theref...
Humans Computer Simulation Surgeons Models, Theoretical Robotics Equipment Design Catheterization Calibration Endovascular Procedures Catheters
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Handwritten-Digit Recognition by Hybrid Convolutional Neural Network based on HfO Memristive Spiking-Neuron.

Scientific reports Aug 22, 2018
Although there is a huge progress in complementary-metal-oxide-semiconductor (CMOS) technology, construction of an artificial neural network using CMOS technology to realize the functionality comparable with that of human cerebral cortex containing 1...
Handwriting Models, Neurological Neurons Semiconductors Neural Networks, Computer Brain Humans
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Computer-aided detection in chest radiography based on artificial intelligence: a survey.

Biomedical engineering online Aug 22, 2018
As the most common examination tool in medical practice, chest radiography has important clinical value in the diagnosis of disease. Thus, the automatic detection of chest disease based on chest radiography has become one of the hot topics in medical...
Radiography, Thoracic Humans Artificial Intelligence Diagnosis, Computer-Assisted Surveys and Questionnaires Radiographic Image Interpretation, Computer-Assisted
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Real-Time Deep Pose Estimation With Geodesic Loss for Image-to-Template Rigid Registration.

IEEE transactions on medical imaging Aug 21, 2018
With an aim to increase the capture range and accelerate the performance of state-of-the-art inter-subject and subject-to-template 3-D rigid registration, we propose deep learning-based methods that are trained to find the 3-D position of arbitrarily...
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Image Processing, Computer-Assisted Magnetic Resonance Imaging Fetus Infant, Newborn Deep Learning Brain Humans Pregnancy Algorithms Female Databases, Factual
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