Name
Abstract | ||
|---|---|---|
•Belief function based method for dose painting in radiotherapy from PET images.•An extension of Evidential C-Means to deal with neighborhood information.•Dealing with both uncertainty and imprecision using belief function theory.•Fusion of prior knowledge from acquisition system to deal with imprecision.•Good performances obtained on both PET phantoms and real images. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1016/j.media.2014.06.014 | Medical Image Analysis |
Keywords | Field | DocType |
Dose painting,Positron Emission Tomography,Information fusion,Segmentation,Belief function theory | Voxel,Computer vision,Image fusion,Pattern recognition,Segmentation,Fusion,Parametric statistics,Positron emission tomography,Artificial intelligence,Partial volume,Mathematics,FMISO | Journal |
Volume | Issue | ISSN |
18 | 7 | 1361-8415 |
Citations | PageRank | References |
5 | 0.42 | 9 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Benoît Lelandais | 1 | 20 | 2.17 |
| Ruan Su | 2 | 559 | 53.00 |
| Thierry Denux | 3 | 67 | 5.10 |
| Pierre Vera | 4 | 59 | 10.15 |
| Isabelle Gardin | 5 | 31 | 4.55 |