AIMC Topic: Absorptiometry, Photon

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Automatic hip geometric feature extraction in DXA imaging using regional random forest.

Journal of X-ray science and technology Jan 1, 2019
BACKGROUND: Hip fracture is considered one of the salient disability factors across the global population. People with hip fractures are prone to become permanently disabled or die from complications. Although currently the premier determiner, bone m...
Humans Machine Learning Algorithms Pelvic Bones Decision Trees Image Interpretation, Computer-Assisted Hip Fractures Absorptiometry, Photon
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Femur segmentation in DXA imaging using a machine learning decision tree.

Journal of X-ray science and technology Jan 1, 2018
BACKGROUND: Accurate measurement of bone mineral density (BMD) in dual-energy X-ray absorptiometry (DXA) is essential for proper diagnosis of osteoporosis. Calculation of BMD requires precise bone segmentation and subtraction of soft tissue absorptio...
Humans Machine Learning Osteoporosis Decision Trees Image Interpretation, Computer-Assisted Absorptiometry, Photon Femur
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BONE MINERAL DENSITY IN CHILDREN WITH IDIOPATHIC HYPERCALCIURIA.

Developmental period medicine Jan 1, 2015
UNLABELLED: The aim of the study was to evaluate bone mineral density (BMD) in the lumbar spine in children with idiopathic hypercalciuria.
Humans Biomarkers Bone Density Female Male Poland Adolescent Child Calcifediol Lumbar Vertebrae Calcium Alkaline Phosphatase Parathyroid Hormone Phosphorus Absorptiometry, Photon Hypercalciuria
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