Name
Abstract | ||
|---|---|---|
•This research introduces the hybrid optimization of both CPU and GPU for image processing.•A novel 3D medical volume segmentation is proposed.•Modified FCM versions are used to increase the accuracy of volume segmentation.•Volumetric neighborhood has been considered to validate the actual 3D FCM. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.patrec.2018.07.026 | Pattern Recognition Letters |
Keywords | Field | DocType |
Fuzzy C-means,Pattern recognition,3D segmentation,GPU,Medical imaging,3D visualization,Image processing | Pattern recognition,Segmentation,Medical imaging,Fuzzy logic,Imaging phantom,Image processing,Image segmentation,Implementation,Artificial intelligence,Graphics processing unit,Mathematics | Journal |
Volume | ISSN | Citations |
130 | 0167-8655 | 17 |
PageRank | References | Authors |
0.69 | 37 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shadi Alzubi | 1 | 81 | 5.12 |
| Mohammed A. Shehab | 2 | 104 | 6.94 |
| Mahmoud Al-Ayyoub | 3 | 730 | 63.41 |
| Yaser Jararweh | 4 | 968 | 88.95 |
| B. B. Gupta | 5 | 518 | 46.49 |