Name
Title | ||
|---|---|---|
Joint tumor growth prediction and tumor segmentation on therapeutic follow-up PET images. |
Abstract | ||
|---|---|---|
•A joint framework for tumor evolution prediction and tumor segmentation is proposed.•The segmentation and prediction are performed in turn in our framework of follow up.•At each instance, an iterative segmentation based on random walk is designed.•Good performance is obtained on patients therapeutic follow-up PET images. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.media.2015.04.016 | Medical Image Analysis |
Keywords | Field | DocType |
Tumor segmentation,Tumor growth prediction,Iterative random walks,Lung tumor | Computer vision,Pattern recognition,Segmentation,Radiation treatment planning,Radiation therapy,Tumor segmentation,Positron emission tomography,Artificial intelligence,Medicine,Model parameter | Journal |
Volume | Issue | ISSN |
23 | 1 | 1361-8415 |
Citations | PageRank | References |
2 | 0.37 | 14 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hongmei Mi | 1 | 12 | 1.61 |
| C. Petitjean | 2 | 20 | 1.24 |
| Pierre Vera | 3 | 2 | 0.37 |
| Ruan Su | 4 | 559 | 53.00 |