Name
Title | ||
|---|---|---|
A Fully Automated Method for the Delineation of Osseous Interface in Ultrasound Images |
Abstract | ||
|---|---|---|
We present a new method for delineating the osseous interface in ultrasound images. Automatic segmentation of the bone-soft tissues interface is achieved by mimicking the reasoning of the expert in charge of the manual segmentation. Information are modeled and fused by the use of fuzzy logic and the accurate delineation is then performed by using general a priori knowledge about osseous interface and ultrasound imaging physics. Results of the automatic segmentation are compared with the manual segmentation of an expert. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1007/978-3-540-30135-6_67 | Lecture Notes in Computer Science |
Keywords | Field | DocType |
a priori knowledge,fuzzy logic,soft tissue | Computer vision,Pattern recognition,Segmentation,Computer science,Fuzzy logic,A priori and a posteriori,Ultrasound imaging,Artificial intelligence,Ultrasound image,Ultrasound | Conference |
Volume | ISSN | Citations |
3216 | 0302-9743 | 14 |
PageRank | References | Authors |
1.14 | 5 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vincent Daanen | 1 | 115 | 12.48 |
| jerome tonetti | 2 | 37 | 6.61 |
| Jocelyne Troccaz | 3 | 626 | 163.13 |