Show simple item record

dc.contributor.authorLindseth, Franken_US
dc.contributor.authorLeidig, Lindaen_US
dc.contributor.authorSmistad, Eriken_US
dc.contributor.editorKatja Bühler and Lars Linsen and Nigel W. Johnen_US
dc.date.accessioned2015-09-14T04:49:10Z
dc.date.available2015-09-14T04:49:10Z
dc.date.issued2015en_US
dc.identifier.isbn978-3-905674-82-8en_US
dc.identifier.issn2070-5786en_US
dc.identifier.urihttp://dx.doi.org/10.2312/vcbm.20151231en_US
dc.description.abstractThe main focus of the preliminary work presented here is the automatic real-time annotation (detection and tracking) of the important structures seen in an ultrasound image taken from a femoral nerve block, i.e. the femoral artery, the facias (lata and illiaca) and the femoral nerve.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.3.8 [Computer Graphics]en_US
dc.subjectApplicationsen_US
dc.subjectMedicalen_US
dc.titleAutomatic Real-time Annotation of Important Landmarks in Ultrasound-Guided Femoral Nerve Blocksen_US
dc.description.seriesinformationEurographics Workshop on Visual Computing for Biology and Medicineen_US
dc.description.sectionheadersPostersen_US
dc.identifier.doi10.2312/vcbm.20151231en_US
dc.identifier.pages219-219en_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record