Name
Title | ||
|---|---|---|
Automatic 3D model-based method for liver segmentation in MRI based on active contours and total variation minimization. |
Abstract | ||
|---|---|---|
•Automatic and accurate 3D active contour method for MRI liver segmentation.•New approach to enhance the contrast in the input MRI image.•The proposed methodology replaces the input image by a model based probability map.•The minimization of this model is achieved by means of dual approach of Chambolle.•Validation of the performance of the method with well-established quality metrics. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.bspc.2015.04.005 | Biomedical Signal Processing and Control |
Field | DocType | Volume |
Active contour model,Computer vision,Scale-space segmentation,Pattern recognition,Medical imaging,Segmentation,Image segmentation,Tomography,Artificial intelligence,Real-time MRI,Mathematics,Magnetic resonance imaging | Journal | 20 |
ISSN | Citations | PageRank |
1746-8094 | 4 | 0.42 |
References | Authors | |
14 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Arantza Bereciartua | 1 | 6 | 1.81 |
| Artzai Picón | 2 | 121 | 10.60 |
| Adrian Galdran | 3 | 175 | 15.36 |
| Pedro M. Iriondo | 4 | 36 | 4.69 |