Name
Title | ||
|---|---|---|
Texture-based filtering and front-propagation techniques for the segmentation of ultrasound images |
Abstract | ||
|---|---|---|
Ultrasound imaging segmentation is a common method used to help in the diagnosis in multiple medical disciplines. This medical image modality is particularly difficult to segment and analyze since the quality of the images is relatively low, because of the presence of speckle noise. In this paper we present a set of techniques, based on texture findings, to increase the quality of the images. We characterize the ultrasound image texture by a vector of responses to a set of Gabor filters. Also, we combine front-propagation and active contours segmentation methods to achieve a fast accurate segmentation with the minimal expert intervention. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-75867-9_120 | EUROCAST |
Keywords | Field | DocType |
gabor filter,fast accurate segmentation,ultrasound imaging segmentation,medical image modality,minimal expert intervention,multiple medical discipline,front-propagation technique,texture finding,active contours segmentation method,ultrasound image texture,common method,active contour,speckle noise | Active contour model,Computer vision,Scale-space segmentation,Pattern recognition,Computer science,Image texture,Segmentation,Segmentation-based object categorization,Image segmentation,Gabor filter,Artificial intelligence,Speckle noise | Conference |
Volume | ISSN | ISBN |
4739 | 0302-9743 | 3-540-75866-6 |
Citations | PageRank | References |
0 | 0.34 | 13 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Miguel Alemán-Flores | 1 | 69 | 12.06 |
| Patricia Alemán-Flores | 2 | 2 | 2.45 |
| Luis Álvarez-León | 3 | 12 | 3.77 |
| M. Belén Esteban-Sánchez | 4 | 1 | 1.06 |
| Rafael Fuentes-Pavón | 5 | 2 | 2.11 |
| José M. Santana-Montesdeoca | 6 | 1 | 0.72 |