Comput Math Methods Med - Automated bone age assessment: motivation, taxonomies, and challenges.

Tópicos

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{ sampl(1606) size(1419) use(1276) }
{ gene(2352) biolog(1181) express(1162) }
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{ activ(1138) subject(705) human(624) }
{ time(1939) patient(1703) rate(768) }
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{ can(981) present(881) function(850) }
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{ health(1844) social(1437) communiti(874) }
{ structur(1116) can(940) graph(676) }
{ high(1669) rate(1365) level(1280) }
{ cancer(2502) breast(956) screen(824) }
{ use(1733) differ(960) four(931) }
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{ decis(3086) make(1611) patient(1517) }
{ process(1125) use(805) approach(778) }
{ activ(1452) weight(1219) physic(1104) }
{ method(1969) cluster(1462) data(1082) }
{ method(2212) result(1239) propos(1039) }

Resumo

Bone age assessment (BAA) of unknown people is one of the most important topics in clinical procedure for evaluation of biological maturity of children. BAA is performed usually by comparing an X-ray of left hand wrist with an atlas of known sample bones. Recently, BAA has gained remarkable ground from academia and medicine. Manual methods of BAA are time-consuming and prone to observer variability. This is a motivation for developing automated methods of BAA. However, there is considerable research on the automated assessment, much of which are still in the experimental stage. This survey provides taxonomy of automated BAA approaches and discusses the challenges. Finally, we present suggestions for future research.

Resumo Limpo

bone age assess baa unknown peopl one import topic clinic procedur evalu biolog matur children baa perform usual compar xray left hand wrist atlas known sampl bone recent baa gain remark ground academia medicin manual method baa timeconsum prone observ variabl motiv develop autom method baa howev consider research autom assess much still experiment stage survey provid taxonomi autom baa approach discuss challeng final present suggest futur research

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