A pattern classification approach to aorta calcium scoring in radiographs
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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.
| Originalsprog | Engelsk |
|---|---|
| Titel | Computer Vision for Biomedical Image Applications : ICCV workshop: Computer Vision for Biomedical Image Applications: Current Techniques and Future Trends |
| Forlag | <Forlag uden navn> |
| Publikationsdato | 2005 |
| Sider | 170-177 |
| ISBN (Trykt) | 978-3-540-29411-5 |
| DOI | |
| Status | Udgivet - 2005 |
| Eksternt udgivet | Ja |
| Begivenhed | First International Workshop Computer Vision for Biomedical Image Applications (CVBIA) - Beijing, Kina Varighed: 29 nov. 2010 → … Konferencens nummer: 1 |
Konference
| Konference | First International Workshop Computer Vision for Biomedical Image Applications (CVBIA) |
|---|---|
| Nummer | 1 |
| Land | Kina |
| By | Beijing |
| Periode | 29/11/2010 → … |
| Navn | Lecture notes in computer science |
|---|---|
| Vol/bind | 3765/2005 |
| ISSN | 0302-9743 |
ID: 4924937