AIMC Topic: Image Enhancement

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Radiomic features for prostate cancer detection on MRI differ between the transition and peripheral zones: Preliminary findings from a multi-institutional study.

Journal of magnetic resonance imaging : JMRI Dec 19, 2016
PURPOSE: To evaluate in a multi-institutional study whether radiomic features useful for prostate cancer (PCa) detection from 3 Tesla (T) multi-parametric MRI (mpMRI) in the transition zone (TZ) differ from those in the peripheral zone (PZ).
Middle Aged Pilot Projects Magnetic Resonance Imaging Australia Adult Sensitivity and Specificity Male Pattern Recognition, Automated Image Enhancement Finland New York City Prostatic Neoplasms Image Interpretation, Computer-Assisted Observer Variation Internationality Humans Machine Learning Reproducibility of Results Aged
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Fast learning method for convolutional neural networks using extreme learning machine and its application to lane detection.

Neural networks : the official journal of the International Neural Network Society Dec 10, 2016
Deep learning has received significant attention recently as a promising solution to many problems in the area of artificial intelligence. Among several deep learning architectures, convolutional neural networks (CNNs) demonstrate superior performanc...
Machine Learning Algorithms Image Enhancement Humans Neural Networks, Computer Artificial Intelligence
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DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks.

IEEE transactions on medical imaging Nov 9, 2016
In this paper, we propose DeepCut, a method to obtain pixelwise object segmentations given an image dataset labelled weak annotations, in our case bounding boxes. It extends the approach of the well-known GrabCut [1] method to include machine learnin...
Brain Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Image Enhancement Humans Neural Networks, Computer Machine Learning Algorithms Monte Carlo Method
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An ultrasound image navigation robotic prostate brachytherapy system based on US to MRI deformable image registration method.

Hellenic journal of nuclear medicine Nov 8, 2016
OBJECTIVE: This paper describes an ultrasound image navigation robotic prostate brachytherapy system. It uses a 2D ultrasound (US) probe rigidly fixed to a robotic needle insertion mechanism. Combined with the US probe registration and image registra...
Image Enhancement Brachytherapy Equipment Failure Analysis Radiotherapy, Image-Guided Multimodal Imaging Robotics Equipment Design Ultrasonography, Interventional Reproducibility of Results Sensitivity and Specificity Magnetic Resonance Imaging
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Deep Learning Automates the Quantitative Analysis of Individual Cells in Live-Cell Imaging Experiments.

PLoS computational biology Nov 4, 2016
Live-cell imaging has opened an exciting window into the role cellular heterogeneity plays in dynamic, living systems. A major critical challenge for this class of experiments is the problem of image segmentation, or determining which parts of a micr...
Image Enhancement Cell Tracking Intravital Microscopy Reproducibility of Results Sensitivity and Specificity Image Interpretation, Computer-Assisted Pattern Recognition, Automated Neural Networks, Computer Machine Learning
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Convolutional Deep Belief Networks for Single-Cell/Object Tracking in Computational Biology and Computer Vision.

BioMed research international Oct 26, 2016
In this paper, we propose deep architecture to dynamically learn the most discriminative features from data for both single-cell and object tracking in computational biology and computer vision. Firstly, the discriminative features are automatically ...
Image Enhancement Cell Tracking Data Interpretation, Statistical Microscopy Image Interpretation, Computer-Assisted Humans Reproducibility of Results Sensitivity and Specificity Animals Models, Statistical Neural Networks, Computer Machine Learning Computer Simulation
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Feasibility of Antegrade Contrast-enhanced US Nephrostograms to Evaluate Ureteral Patency.

Radiology Oct 19, 2016
Purpose To demonstrate the feasibility of contrast material-enhanced ulrasonographic (US) nephrostograms to assess ureteral patency after percutaneous nephrolithotomy (PCNL) in this proof-of-concept study. Materials and Methods For this HIPAA-complia...
Ultrasonography Contrast Media Feasibility Studies Image Enhancement Microbubbles Nephrostomy, Percutaneous Ureter Aged Adult Male Middle Aged Humans Prospective Studies Female
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Detection of small colon bleeding in wireless capsule endoscopy videos.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Sep 25, 2016
In the recent years, wireless capsule endoscopy (WCE) technology has played a very important role in diagnosing diseases within the gastro intestinal (GI) tract of human beings. The WCE device captures images of the GI tract of patient with a certain...
Hemorrhage Video Recording Capsule Endoscopy Image Enhancement Colon Support Vector Machine Color Humans Sensitivity and Specificity Middle Aged
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Using Anatomic Intelligence to Localize Mitral Valve Prolapse on Three-Dimensional Echocardiography.

Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography Aug 18, 2016
BACKGROUND: Accurate localization of mitral valve prolapse (MVP) is crucial for surgical planning. Despite improved visualization of the mitral valve by three-dimensional transesophageal echocardiography, image interpretation remains expertise depend...
Sensitivity and Specificity Male Middle Aged Image Interpretation, Computer-Assisted Pattern Recognition, Automated Image Enhancement Mitral Valve Prolapse Echocardiography, Three-Dimensional Machine Learning Algorithms Female Reproducibility of Results Humans
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Liver Tumor Segmentation from MR Images Using 3D Fast Marching Algorithm and Single Hidden Layer Feedforward Neural Network.

BioMed research international Aug 14, 2016
Objective. Our objective is to develop a computerized scheme for liver tumor segmentation in MR images. Materials and Methods. Our proposed scheme consists of four main stages. Firstly, the region of interest (ROI) image which contains the liver tumo...
Machine Learning Algorithms Reproducibility of Results Sensitivity and Specificity Liver Neoplasms Imaging, Three-Dimensional Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Pattern Recognition, Automated Image Enhancement
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