AIMC Topic:
Image Interpretation, Computer-Assisted

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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...
Neural Networks, Computer Machine Learning Algorithms Brain Humans Monte Carlo Method Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Image Enhancement
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Automatic detection and classification of leukocytes using convolutional neural networks.

Medical & biological engineering & computing Nov 7, 2016
The detection and classification of white blood cells (WBCs, also known as Leukocytes) is a hot issue because of its important applications in disease diagnosis. Nowadays the morphological analysis of blood cells is operated manually by skilled opera...
Humans Neural Networks, Computer Machine Learning Pattern Recognition, Automated Precursor Cell Lymphoblastic Leukemia-Lymphoma Algorithms Cells, Cultured Reproducibility of Results Sensitivity and Specificity Leukocytes Microscopy Image Interpretation, Computer-Assisted
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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...
Intravital Microscopy Neural Networks, Computer Pattern Recognition, Automated Machine Learning Image Enhancement Reproducibility of Results Cell Tracking Sensitivity and Specificity Image Interpretation, Computer-Assisted
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Automatic Valve Plane Localization in Myocardial Perfusion SPECT/CT by Machine Learning: Anatomic and Clinical Validation.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine Nov 3, 2016
Precise definition of the mitral valve plane (VP) during segmentation of the left ventricle for SPECT myocardial perfusion imaging (MPI) quantification often requires manual adjustment, which affects the quantification of perfusion. We developed a ma...
Humans Machine Learning Reproducibility of Results Image Interpretation, Computer-Assisted Pattern Recognition, Automated Myocardial Perfusion Imaging Single Photon Emission Computed Tomography Computed Tomography Sensitivity and Specificity Middle Aged Anatomic Landmarks Mitral Valve
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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 ...
Models, Statistical Humans Computer Simulation Image Interpretation, Computer-Assisted Neural Networks, Computer Data Interpretation, Statistical Image Enhancement Reproducibility of Results Machine Learning Microscopy Sensitivity and Specificity Cell Tracking Animals
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Introducing the Big Knowledge to Use (BK2U) challenge.

Annals of the New York Academy of Sciences Oct 17, 2016
The purpose of the Big Data to Knowledge initiative is to develop methods for discovering new knowledge from large amounts of data. However, if the resulting knowledge is so large that it resists comprehension, referred to here as Big Knowledge (BK),...
Intracranial Hemorrhages Decision Making, Computer-Assisted Drug Interactions Translational Research, Biomedical Knowledge Bases Data Mining Image Interpretation, Computer-Assisted Humans Systematized Nomenclature of Medicine Image Processing, Computer-Assisted Animals Computational Biology Terminology as Topic Models, Neurological Pharmaceutical Preparations
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Hybrid Artificial Root Foraging Optimizer Based Multilevel Threshold for Image Segmentation.

Computational intelligence and neuroscience Sep 20, 2016
This paper proposes a new plant-inspired optimization algorithm for multilevel threshold image segmentation, namely, hybrid artificial root foraging optimizer (HARFO), which essentially mimics the iterative root foraging behaviors. In this algorithm ...
Image Interpretation, Computer-Assisted Pattern Recognition, Automated Plant Physiological Phenomena Algorithms Computer Simulation Plants Artificial Intelligence
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Single NMR image super-resolution based on extreme learning machine.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Sep 9, 2016
INTRODUCTION: The performance limitation of MRI equipment and higher resolution demand of NMR images from radiologists have formed a strong contrast. Therefore, it is important to study the super resolution algorithm suitable for NMR images, using lo...
Phantoms, Imaging Humans Machine Learning Algorithms Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Signal-To-Noise Ratio Biophysical Phenomena
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Predicting lung cancer prognosis using machine learning.

The Lancet. Oncology Aug 25, 2016
Adenocarcinoma of Lung Humans Neoplasm Staging Survival Analysis Image Interpretation, Computer-Assisted Carcinoma, Squamous Cell Carcinoma, Non-Small-Cell Lung Machine Learning Automation ROC Curve Predictive Value of Tests Software Lung Neoplasms Area Under Curve Decision Support Techniques Adenocarcinoma
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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...
Humans Machine Learning Algorithms Female Reproducibility of Results Sensitivity and Specificity Pattern Recognition, Automated Male Image Enhancement Middle Aged Mitral Valve Prolapse Image Interpretation, Computer-Assisted Echocardiography, Three-Dimensional
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