Name
Abstract | ||
|---|---|---|
18F-fluorodeoxyglucose positron emission tomography (18FDG PET) has become an essential technique in oncology. Accurate segmentation and uptake quantification are crucial in order to enable objective follow-up, the optimization of radiotherapy planning, and therapeutic evaluation. We have designed and evaluated a new, nearly automatic and operator-independent segmentation approach. This incorporat... |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/TMI.2010.2083681 | IEEE Transactions on Medical Imaging |
Keywords | Field | DocType |
Positron emission tomography,Pixel,Image segmentation,Tumors,Calibration,Uncertainty,Possibility theory | Standardized uptake value,Computer vision,Data set,Segmentation,Imaging phantom,Maximum intensity projection,Image segmentation,Positron emission tomography,Artificial intelligence,Standard deviation,Mathematics | Journal |
Volume | Issue | ISSN |
30 | 2 | 0278-0062 |
Citations | PageRank | References |
6 | 0.46 | 5 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anne-sophie Dewalle | 1 | 26 | 3.53 |
| Nacim Betrouni | 2 | 67 | 11.63 |
| Renaud Lopes | 3 | 21 | 2.45 |
| Damien Huglo | 4 | 6 | 0.46 |
| Simon Stute | 5 | 15 | 2.60 |
| Maximilien Vermandel | 6 | 30 | 6.49 |