Name
Title | ||
|---|---|---|
Computer-assisted delineation of cerebral infarct from diffusion-weighted MRI using Gaussian mixture model. |
Abstract | ||
|---|---|---|
The performance of the proposed methodology has been compared with the manually delineated images (ground truth) obtained from different experts, individually. Quantitative evaluation with respect to various performance measures (such as dice coefficient, Jaccard score, and correlation coefficient) shows the efficient performance of the proposed technique. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1007/s11548-017-1520-x | Int. J. Computer Assisted Radiology and Surgery |
Keywords | Field | DocType |
DWI,Fuzzy contrast enhancement,Gaussian mixture model,Segmentation,Stroke lesion | Computer vision,Diffusion MRI,Lesion,Segmentation,Medical imaging,Radiation treatment planning,Stroke,Artificial intelligence,Radiology,Medicine,Mixture model | Journal |
Volume | Issue | ISSN |
12 | 4 | 1861-6429 |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Manas K. Nag | 1 | 0 | 0.34 |
| Subhranil Koley | 2 | 6 | 1.45 |
| Debarghya China | 3 | 1 | 1.37 |
| Anup K. Sadhu | 4 | 0 | 0.34 |
| Ravikanth Balaji | 5 | 0 | 0.34 |
| Siddharth Ghosh | 6 | 0 | 0.34 |
| Chandan Chakraborty | 7 | 537 | 50.60 |