Name
Title | ||
|---|---|---|
Tracking time interval changes of pulmonary nodules on follow-up 3D CT images via image-based risk score of lung cancer |
Abstract | ||
|---|---|---|
In this paper, we present a computer-aided follow-up (CAF) scheme to support physicians to track interval changes of pulmonary nodules on three dimensional (3D) CT images and to decide the treatment strategies without making any under or over treatment. Our scheme involves analyzing CT histograms to evaluate the volumetric distribution of CT values within pulmonary nodules. A variational Bayesian mixture modeling framework translates the image-derived features into an image-based risk score for predicting the patient recurrence-free survival. Through applying our scheme to follow-up 3D CT images of pulmonary nodules, we demonstrate the potential usefulness of the CAF scheme which can provide the trajectories that can characterize time interval changes of pulmonary nodules. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1117/12.2008113 | Proceedings of SPIE |
Keywords | Field | DocType |
computer-aided follow-up (CAF),lung cancer,recurrent-free survival,variational Bayesian mixture modeling framework,CT histogram | Lung cancer,Framingham Risk Score,Histogram,Computer vision,Mixture modeling,Image based,Artificial intelligence,Medical physics,Radiology,Bayesian probability,Physics | Conference |
Volume | ISSN | Citations |
8670 | 0277-786X | 0 |
PageRank | References | Authors |
0.34 | 0 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yoshiki Kawata | 1 | 192 | 54.44 |
| Noboru Niki | 2 | 188 | 66.10 |
| Hironobu Ohmatsu | 3 | 138 | 45.23 |
| masahiko kusumoto | 4 | 46 | 16.28 |
| takaaki tsuchida | 5 | 0 | 4.39 |
| Kenji Eguchi | 6 | 129 | 42.78 |
| Masahiro Kaneko | 7 | 55 | 19.24 |
| Noriyuki Moriyama | 8 | 148 | 50.47 |