Name
Abstract | ||
|---|---|---|
•Lung tumors shrink during radiotherapy, with much variation between patients.•Pre-treatment CT images can be used to predict tumor shrinkage after treatment.•Potential uses include identifying patients who will benefit from adaptive radiation therapy. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.compmedimag.2015.11.004 | Computerized Medical Imaging and Graphics |
Keywords | Field | DocType |
Quantitative image feature,texture,tumor shrinkage,prediction,NSCLC | Nuclear medicine,Histogram,Population,Principal component regression,Shrinkage,Feature (computer vision),Mean squared error,Correlation,Artificial intelligence,Radiology,Gross tumor volume,Medicine | Journal |
Volume | ISSN | Citations |
49 | 0895-6111 | 0 |
PageRank | References | Authors |
0.34 | 1 | 12 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Luke A. Hunter | 1 | 0 | 0.34 |
| Yi Pei Chen | 2 | 0 | 0.34 |
| Lifei Zhang | 3 | 3 | 2.49 |
| Jason E. Matney | 4 | 0 | 0.34 |
| Haesun Choi | 5 | 0 | 0.34 |
| Stephen F. Kry | 6 | 0 | 0.34 |
| mary k martel | 7 | 0 | 0.68 |
| Francesco Stingo | 8 | 18 | 1.92 |
| Z. Liao | 9 | 2 | 0.71 |
| D. Gomez | 10 | 0 | 0.68 |
| Jinzhong Yang | 11 | 128 | 9.78 |
| Laurence E. Court | 12 | 1 | 1.03 |