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Forside

A pattern classification approach to aorta calcium scoring in radiographs

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

A method for automated detection of calcifications in the abdominal aorta from standard X-ray images is presented. Pixel classification based on local image structure is combined with a spatially varying prior that is derived from a statistical model of the combined shape variation in aorta and spine.
Leave-one-out experiments were performed on 87 standard lateral lumbar spine X-rays, resulting in on average 93.7% of the pixels within the aorta being correctly classified.
OriginalsprogEngelsk
TitelComputer Vision for Biomedical Image Applications : ICCV workshop: Computer Vision for Biomedical Image Applications: Current Techniques and Future Trends
Forlag<Forlag uden navn>
Publikationsdato2005
Sider170-177
ISBN (Trykt)978-3-540-29411-5
DOI
StatusUdgivet - 2005
Eksternt udgivetJa
BegivenhedFirst International Workshop Computer Vision for Biomedical Image Applications (CVBIA) - Beijing, Kina
Varighed: 29 nov. 2010 → …
Konferencens nummer: 1

Konference

KonferenceFirst International Workshop Computer Vision for Biomedical Image Applications (CVBIA)
Nummer1
LandKina
ByBeijing
Periode29/11/2010 → …
NavnLecture notes in computer science
Vol/bind3765/2005
ISSN0302-9743

ID: 4924937