AIMC Topic: Epiphyses

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Please Don't Move-Evaluating Motion Artifact From Peripheral Quantitative Computed Tomography Scans Using Textural Features.

Journal of clinical densitometry : the official journal of the International Society for Clinical Densitometry Aug 8, 2017
Most imaging methods, including peripheral quantitative computed tomography (pQCT), are susceptible to motion artifacts particularly in fidgety pediatric populations. Methods currently used to address motion artifact include manual screening (visual ...
Humans Machine Learning Tomography, X-Ray Computed Reproducibility of Results Decision Trees Radiographic Image Interpretation, Computer-Assisted Artifacts Tibia Radius Patient Positioning Movement Epiphyses Diaphyses
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Automated Classification of Epiphyses in the Distal Radius and Ulna using a Support Vector Machine.

Journal of forensic sciences Dec 22, 2015
The aim of this study was to automatically classify epiphyses in the distal radius and ulna using a support vector machine (SVM) and to examine the accuracy of the epiphyseal growth grades generated by the support vector machine. X-ray images of dist...
Humans Female Young Adult Male China Adolescent Child Support Vector Machine Asian People Radius Ulna Age Determination by Skeleton Forensic Anthropology Epiphyses
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Feature description with SIFT, SURF, BRIEF, BRISK, or FREAK? A general question answered for bone age assessment.

Computers in biology and medicine Nov 18, 2015
Solving problems in medical image processing is either generic (being applicable to many problems) or specific (optimized for a certain task). For example, bone age assessment (BAA) on hand radiographs is a frequent but cumbersome task for radiologis...
Humans Female Infant, Newborn Male Infant Adolescent Child, Preschool Child Image Processing, Computer-Assisted Support Vector Machine Radiography Age Determination by Skeleton Epiphyses
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Bone age assessment from articular surface and epiphysis using deep neural networks.

Mathematical biosciences and engineering : MBE Jun 6, 2023
Bone age assessment is of great significance to genetic diagnosis and endocrine diseases. Traditional bone age diagnosis mainly relies on experienced radiologists to examine the regions of interest in hand radiography, but it is time-consuming and ma...
Humans Neural Networks, Computer Child Radiography Epiphyses
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