AIMC Topic: Tomography, X-Ray Computed

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Markerless surgical robotic system for intracerebral hemorrhage surgery.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jan 1, 2015
Conventional intracerebral hemorrhage (ICH) surgery uses a stereotactic frame to access an intracerebral hematoma. Using a stereotactic frame for ICH surgery requires a long preparation time. In order to resolve this problem, we propose a markerless ...
Humans Calibration Imaging, Three-Dimensional Tomography, X-Ray Computed Needles Cerebral Hemorrhage Robotics
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Unsupervised detection of liver lesions in CT images.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jan 1, 2015
This work presents an automatic approach for liver lesions detection in CT images. In this approach, liver is first segmented using fast and reliable semi-automatic technique. After liver segmentation, lesion detection is formulated as an unsupervise...
Unsupervised Machine Learning Humans Tomography, X-Ray Computed Liver Neoplasms Image Processing, Computer-Assisted
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On the Automated Segmentation of Epicardial and Mediastinal Cardiac Adipose Tissues Using Classification Algorithms.

Studies in health technology and informatics Jan 1, 2015
The quantification of fat depots on the surroundings of the heart is an accurate procedure for evaluating health risk factors correlated with several diseases. However, this type of evaluation is not widely employed in clinical practice due to the re...
Pattern Recognition, Automated Pericardium Subtraction Technique Mediastinum Sensitivity and Specificity Adipose Tissue Radiographic Image Interpretation, Computer-Assisted Humans Machine Learning Algorithms Tomography, X-Ray Computed Reproducibility of Results
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Sampling from Determinantal Point Processes for Scalable Manifold Learning.

Information processing in medical imaging : proceedings of the ... conference Jan 1, 2015
High computational costs of manifold learning prohibit its application for large datasets. A common strategy to overcome this problem is to perform dimensionality reduction on selected landmarks and to successively embed the entire dataset with the N...
Humans Pattern Recognition, Automated Artificial Intelligence Radiographic Image Enhancement Head and Neck Neoplasms Models, Statistical Sample Size Data Interpretation, Statistical Reproducibility of Results Algorithms Sensitivity and Specificity Signal Processing, Computer-Assisted Computer Simulation Imaging, Three-Dimensional Radiographic Image Interpretation, Computer-Assisted Tomography, X-Ray Computed
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Segmenting the Brain Surface from CT Images with Artifacts Using Dictionary Learning for Non-rigid MR-CT Registration.

Information processing in medical imaging : proceedings of the ... conference Jan 1, 2015
This paper presents a dictionary learning-based method to segment the brain surface in post-surgical CT images of epilepsy patients following surgical implantation of electrodes. Using the electrodes identified in the post-implantation CT, surgeons r...
Image Interpretation, Computer-Assisted Pattern Recognition, Automated Image Enhancement Tomography, X-Ray Computed Reproducibility of Results Sensitivity and Specificity Magnetic Resonance Imaging Multimodal Imaging Epilepsy Artificial Intelligence Algorithms Brain Humans
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Multi-scale Convolutional Neural Networks for Lung Nodule Classification.

Information processing in medical imaging : proceedings of the ... conference Jan 1, 2015
We investigate the problem of diagnostic lung nodule classification using thoracic Computed Tomography (CT) screening. Unlike traditional studies primarily relying on nodule segmentation for regional analysis, we tackle a more challenging problem on ...
Humans Neural Networks, Computer Algorithms Lung Neoplasms Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Reproducibility of Results Sensitivity and Specificity Pattern Recognition, Automated Radiography, Thoracic Radiographic Image Enhancement
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Bodypart Recognition Using Multi-stage Deep Learning.

Information processing in medical imaging : proceedings of the ... conference Jan 1, 2015
Automatic medical image analysis systems often start from identifying the human body part contained in the image; Specifically, given a transversal slice, it is important to know which body part it comes from, namely "slice-based bodypart recognition...
Middle Aged Infant Adolescent Tomography, X-Ray Computed Adult Female Sensitivity and Specificity Reproducibility of Results Male Aged Image Interpretation, Computer-Assisted Child, Preschool Aged, 80 and over Pattern Recognition, Automated Young Adult Image Enhancement Child Humans Whole Body Imaging Imaging, Three-Dimensional Artificial Intelligence Algorithms
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Cases from the aerospace medicine residents' teaching file. Case #26. A fighter pilot with a single left frontal lobe infarction and probable mitral valve prolapse and supraventricular arrhythmias.

Aviation, space, and environmental medicine Oct 1, 1988
A fighter pilot with a single left frontal lobe infarction and probable mitral valve prolapse and supraventricular arrhythmias is presented. He was found unfit for flying duties as a fighter pilot, but because of his experience and expertise he was r...
Male Aerospace Medicine Echocardiography Frontal Lobe Cerebral Infarction Humans Mitral Valve Prolapse Tachycardia, Supraventricular Tomography, X-Ray Computed Adult
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