Name
Abstract | ||
|---|---|---|
•Parallel implementation of cross modality based liver enhancement.•Application to the tumor segmentation.•The proposed parallel approach is 104.416 ( ± 5.166) times faster compared to the sequential implementation and increases the sensitivity and specificity of the tumor segmentation.•The cross modality based contrast enhancement improves the quality of the tumor segmentation. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.cmpb.2019.105285 | Computer Methods and Programs in Biomedicine |
Keywords | Field | DocType |
2D Histogram matching,Contrast enhancement,GPU,Image segmentation | Spatial analysis,Computer vision,Histogram,Computer science,Histogram matching,Image segmentation,Region growing,Artificial intelligence,Pixel,Region of interest,Histogram equalization | Journal |
Volume | ISSN | Citations |
184 | 0169-2607 | 2 |
PageRank | References | Authors |
0.39 | 0 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nitin Satpute | 1 | 2 | 0.73 |
| Rabia Naseem | 2 | 2 | 0.73 |
| Egidijus Pelanis | 3 | 5 | 1.18 |
| Juan Gómez-Luna | 4 | 209 | 23.34 |
| Faouzi Alaya Cheikh | 5 | 168 | 38.47 |
| Ole Jakob Elle | 6 | 68 | 15.39 |
| Joaquín Olivares | 7 | 2 | 0.73 |