AIMC Topic: Hand Bones

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The RSNA Pediatric Bone Age Machine Learning Challenge.

Radiology Nov 27, 2018
Purpose The Radiological Society of North America (RSNA) Pediatric Bone Age Machine Learning Challenge was created to show an application of machine learning (ML) and artificial intelligence (AI) in medical imaging, promote collaboration to catalyze ...
Male Child Female Age Determination by Skeleton Hand Bones Image Interpretation, Computer-Assisted Radiography Machine Learning Databases, Factual Algorithms Humans
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Regression Convolutional Neural Network for Automated Pediatric Bone Age Assessment From Hand Radiograph.

IEEE journal of biomedical and health informatics Oct 19, 2018
Skeletal bone age assessment is a common clinical practice to investigate endocrinology, and genetic and growth disorders of children. However, clinical interpretation and bone age analyses are time-consuming, labor intensive, and often subject to in...
Female Male Tomography, X-Ray Computed Child Image Interpretation, Computer-Assisted Adolescent Deep Learning Humans Databases, Factual Neural Networks, Computer Hand Bones Child Development
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Automatic Age Estimation and Majority Age Classification From Multi-Factorial MRI Data.

IEEE journal of biomedical and health informatics Sep 24, 2018
Age estimation from radiologic data is an important topic both in clinical medicine as well as in forensic applications, where it is used to assess unknown chronological age or to discriminate minors from adults. In this paper, we propose an automati...
Humans Hand Bones Female Clavicle Age Determination by Skeleton Neural Networks, Computer Magnetic Resonance Imaging Adult Adolescent Tooth Male Young Adult Image Interpretation, Computer-Assisted
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Automated Assessment of Bone Age Using Deep Learning and Gaussian Process Regression.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Bone age is an essential measure of skeletal maturity in children with growth disorders. It is typically assessed by a trained physician using radiographs of the hand and a reference model. However, it has been described that the reference models lea...
Age Determination by Skeleton Hand Bones Adolescent Normal Distribution Image Interpretation, Computer-Assisted Child, Preschool Infant, Newborn Radiography Observer Variation Child Deep Learning Infant Retrospective Studies Young Adult Humans Female
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