Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김명희 | * |
dc.date.accessioned | 2018-06-02T08:14:07Z | - |
dc.date.available | 2018-06-02T08:14:07Z | - |
dc.date.issued | 2006 | * |
dc.identifier.isbn | 3540465561 | * |
dc.identifier.isbn | 9783540465560 | * |
dc.identifier.issn | 0302-9743 | * |
dc.identifier.other | OAK-17750 | * |
dc.identifier.uri | https://dspace.ewha.ac.kr/handle/2015.oak/244001 | - |
dc.description.abstract | Measurement of nuchal translucency (NT) thickness in the first trimester of pregnancy has recently been proposed as the most useful marker in the early screening for fetal chromosomal abnormalities, Ultrasonic measurement of NT thickness is currently performed by manually tracing the two echogenic lines and locating the electronic calipers on the inner edges of these lines. The drawbacks of this method are inter- and intra-observer variability, and its inefficiency. In particular, accurate caliper placement requires highly skilled operators since the border of the nuchal translucency layer is very thin. We present a computerized method of detecting the border of the NT layer by minimizing a cost function using dynamic programming. Local measurements of intensity, edge strength and continuity are extracted and become weighted terms in a cost function. Our method can obtain accurate and reproducible results, and has been validated by computing the correlation coefficient between manual and automatic measurements. © Springer-Verlag Berlin Heidelberg 2006. | * |
dc.description.sponsorship | Advanced Technologies Application Center of Cuba;International Association for Pattern Recognition;International Association for Pattern Recognition;Cuban Association for Pattern Recognition;Spanish Association for Pattern Recognition and Image Analysis | * |
dc.language | English | * |
dc.title | Automated ultrasonic measurement of fetal nuchal translucency using dynamic programming | * |
dc.type | Conference Paper | * |
dc.relation.volume | 4225 LNCS | * |
dc.relation.index | SCOPUS | * |
dc.relation.startpage | 157 | * |
dc.relation.lastpage | 167 | * |
dc.relation.journaltitle | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | * |
dc.identifier.scopusid | 2-s2.0-33845206406 | * |
dc.author.google | Lee Y.-B. | * |
dc.author.google | Kim M.-H. | * |
dc.contributor.scopusid | 김명희(34770838100) | * |
dc.date.modifydate | 20240322133114 | * |