Name
Title | ||
|---|---|---|
Multi-orientation geometric medical volumes segmentation using 3D multiresolution analysis |
Abstract | ||
|---|---|---|
Medical images have a very significant impact in the diagnosing and treating process of patient ailments and radiology applications. For many reasons, processing medical images can greatly improve the quality of radiologists’ job. While 2D models have been in use for medical applications for decades, wide-spread utilization of 3D models appeared only in recent years. The proposed work in this paper aims to segment medical volumes under various conditions and in different axel representations. In this paper, we propose an algorithm for segmenting Medical Volumes based on Multiresolution Analysis. Different 3D volume reconstructed versions have been considered to come up with a robust and accurate segmentation results. The proposed algorithm is validated using real medical and Phantom Data. Processing time, segmentation accuracy of predefined data sets and radiologist’s opinions were the key factors for methods validations. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1007/s11042-018-7003-4 | Multimedia Tools and Applications |
Keywords | Field | DocType |
Medical imaging, Geometric 3D image processing, Multiresolution analysis, Volume reconstruction, Segmentation | Computer vision,Data set,Market segmentation,Pattern recognition,Computer science,Segmentation,Medical imaging,Imaging phantom,Multiresolution analysis,Artificial intelligence,Volume reconstruction | Journal |
Volume | Issue | ISSN |
78 | 17 | 1573-7721 |
Citations | PageRank | References |
3 | 0.40 | 37 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shadi Alzubi | 1 | 81 | 5.12 |
| Yaser Jararweh | 2 | 968 | 88.95 |
| Hassan Al-Zoubi | 3 | 3 | 1.07 |
| Mohammed Elbes | 4 | 29 | 3.37 |
| Tarek Kanan | 5 | 43 | 5.48 |
| Brij Gupta | 6 | 3 | 0.40 |