A Bayesian approach to multistage fitting of the variation of the skeletal age features.
Accurate assessment of skeletal maturity is important clinically. Skeletal age assessment is usually based on features encoded in ossification centers. Therefore, it is critical to design a mechanism to capture as much as possible characteristics of features. We have observed that given a feature, t...
| Publicado en: | Journal of Biomedicine & Biotechnology pp. 7p - 8 |
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| Autores principales: | , , , |
| Formato: | diagnostic images equations & formulas tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
2009 Regular Issue
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=105438725&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105438725 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 11107243 137K jtl: Journal of Biomedicine & Biotechnology issn: 11107243 maglogo: N pubinfo: dt: 2009 Regular Issue pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 105438725 2010398026 10.1155/2009/623853 NLM19704918 105438725 ppf: 7p ppct: 1 formats: fmt: @attributes: type: P tig: atl: A Bayesian approach to multistage fitting of the variation of the skeletal age features. aug: au: Hua D Chen D Liu F Youssef A affil: Department of Computer Science, The George Washington University, Washington, DC 20052, USA. sug: subj: Age Determination by Skeleton Mathematics Statistics Methods Age Determination by Skeleton Methods ab: Accurate assessment of skeletal maturity is important clinically. Skeletal age assessment is usually based on features encoded in ossification centers. Therefore, it is critical to design a mechanism to capture as much as possible characteristics of features. We have observed that given a feature, there exist stages of the skeletal age such that the variation pattern of the feature differs in these stages. Based on this observation, we propose a Bayesian cut fitting to describe features in response to the skeletal age. With our approach, appropriate positions for stage separation are determined automatically by a Bayesian approach, and a model is used to fit the variation of a feature within each stage. Our experimental results show that the proposed method surpasses the traditional fitting using only one line or one curve not only in the efficiency and accuracy of fitting but also in global and local feature characterization. pubtype: Academic Journal doctype: diagnostic images equations & formulas tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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