Name
Abstract | ||
|---|---|---|
Liver volumetry is a required step for the planning of liver surgery and resection. It is generally based on Computerized tomography images, and segmentation of the liver is the most important step of the process. We propose an automatic segmentation algorithm based on a geometric level set method which provides an accurate segmentation of the liver, and requires no a priori information. We show results on different datasets, with and without a contrast agent. The segmentation is compared to manual delineation by a radiologist with good results. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-72847-4_22 | IbPRIA (1) |
Keywords | Field | DocType |
geometric level set method,liver volumetry,contrast agent,required step,liver surgery,level sets,different datasets,accurate segmentation,computerized tomography image,automatic segmentation,important step,automatic segmentation algorithm,level set,level set method | Computer vision,Scale-space segmentation,Pattern recognition,Segmentation,Level set method,Computer science,A priori and a posteriori,Segmentation-based object categorization,Level set,Tomography,Image segmentation,Artificial intelligence | Conference |
Volume | ISSN | Citations |
4477 | 0302-9743 | 3 |
PageRank | References | Authors |
0.45 | 4 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| J. F. Garamendi | 1 | 3 | 0.79 |
| N. Malpica | 2 | 45 | 7.25 |
| J. Martel | 3 | 3 | 0.45 |
| E. Schiavi | 4 | 6 | 2.29 |