AIMC Topic: Whole Body Imaging

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Automated detection of pulmonary nodules in PET/CT images: Ensemble false-positive reduction using a convolutional neural network technique.

Medical physics Jun 1, 2016
PURPOSE: Automated detection of solitary pulmonary nodules using positron emission tomography (PET) and computed tomography (CT) images shows good sensitivity; however, it is difficult to detect nodules in contact with normal organs, and additional e...
ROC Curve Lung Neoplasms Male Lung Radiographic Image Interpretation, Computer-Assisted Whole Body Imaging Support Vector Machine Positron Emission Tomography Computed Tomography Humans Neural Networks, Computer Female Sensitivity and Specificity
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Automated Tracking and Quantification of Autistic Behavioral Symptoms Using Microsoft Kinect.

Studies in health technology and informatics Jan 1, 2016
The prevalence of autism spectrum disorder (ASD) has risen significantly in the last ten years, and today, roughly 1 in 68 children has been diagnosed. One hallmark set of symptoms in this disorder are stereotypical motor movements. These repetitive ...
Video Games Whole Body Imaging Autistic Disorder Actigraphy Pattern Recognition, Automated Humans Female Sensitivity and Specificity Reproducibility of Results Male Machine Learning Diagnosis, Computer-Assisted Mental Disorders Imaging, Three-Dimensional
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Automatic anatomy recognition in whole-body PET/CT images.

Medical physics Jan 1, 2016
PURPOSE: Whole-body positron emission tomography/computed tomography (PET/CT) has become a standard method of imaging patients with various disease conditions, especially cancer. Body-wide accurate quantification of disease burden in PET/CT images is...
Male Middle Aged Aged Adult Fuzzy Logic Positron-Emission Tomography Image Processing, Computer-Assisted Abdomen Humans Tomography, X-Ray Computed Whole Body Imaging Torso Automation Radiography, Abdominal
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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...
Pattern Recognition, Automated Image Enhancement Whole Body Imaging Imaging, Three-Dimensional Adult Image Interpretation, Computer-Assisted Sensitivity and Specificity Child, Preschool Aged, 80 and over Infant Child Young Adult Tomography, X-Ray Computed Adolescent Female Male Reproducibility of Results Humans Artificial Intelligence Middle Aged Aged Algorithms
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