Name
Title | ||
|---|---|---|
Elimination of white Gaussian noise in arterial phase CT images to bring adrenal tumours into the forefront. |
Abstract | ||
|---|---|---|
•DCE-CT images are generally under the influence of noises which arise as the result of trade-off between radiation doses vs. noise.•This situation constitutes a challenging handicap for the achievement of an accurate tumour segmentation.•In this study, arterial phase CT images containing adrenal tumours is handled and elimination of Gaussian Noise is realised by fourteen different techniques.•In experiments, it’s revealed that BM3D algorithm usually achieves to reliable PSNR values by outperforming to peer techniques on denoising of abdominal CT image.•As a result, the whole abdomen and the ROI around adrenal tumours came to the forefront for our future work. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.compmedimag.2017.05.004 | Computerized Medical Imaging and Graphics |
Keywords | Field | DocType |
Image denoising,White Gaussian noise,Adrenal tumours,Arterial phase,Contrast-enhanced CT | Noise reduction,Computer vision,CPU time,Segmentation,Filter (signal processing),Artificial intelligence,Computed tomography,Medicine,Additive white Gaussian noise,Gaussian noise,Adrenal tumours | Journal |
Volume | ISSN | Citations |
65 | 0895-6111 | 1 |
PageRank | References | Authors |
0.40 | 11 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hasen Koyuncu | 1 | 14 | 4.84 |
| Rahime Ceylan | 2 | 259 | 17.10 |