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- W2088775570 abstract "We have collected a digital hand atlas containing digitized left hand radiographs of normally developed children grouped accordingly by age, sex, and race. A set of features stored in a database reflecting patient's stage of skeletal development has been calculated by automatic image processing procedures. This paper addresses a new concept, average image in the digital hand atlas. The average reference image in the digital atlas is selected for each of the groups of normal developed children with the best representative skeletal maturity based on bony features. A data mining procedure was designed and applied to find the average image through average feature vector matching. It also provides a temporary solution for the missing feature problem through polynomial regression. As more cases are added to the digital hand atlas, it can grow to provide clinicians accurate reference images to aid the bone age assessment process." @default.
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- W2088775570 date "2005-04-15" @default.
- W2088775570 modified "2023-09-24" @default.
- W2088775570 title "<title>Data mining and visualization of average images in a digital hand atlas</title>" @default.
- W2088775570 doi "https://doi.org/10.1117/12.595407" @default.
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