Variational approach for segmentation of lung nodules
Farag, Amal A.; Hossam El DIn Hassan Abdelmunim; Graham, James; Farag, Aly A.; Elshazly, Salwa; El-Mogy, Sabry; El-Mogy, Mohamed; Falk, Robert; Al-Jafary, Sahar; Mahdi, Hani; Milam, Rebecca;
Abstract
Lung nodules from low dose CT (LDCT) scans may be used for early detection of lung cancer. However, these nodules vary in size, shape, texture, location, and may suffer from occlusion within the tissue. This paper presents an approach for segmentation of lung nodules detected by a prior step. First, regions around the detected nodules are segmented; using automatic seed point placement levels sets. The outline of the nodule region is further improved using the curvature characteristics of the segmentation boundary. We illustrate the effectiveness of this method for automatic segmentation of the Juxta-pleural nodules. © 2011 IEEE.
Other data
| Title | Variational approach for segmentation of lung nodules | Authors | Farag, Amal A.; Hossam El DIn Hassan Abdelmunim ; Graham, James; Farag, Aly A.; Elshazly, Salwa; El-Mogy, Sabry; El-Mogy, Mohamed; Falk, Robert; Al-Jafary, Sahar; Mahdi, Hani; Milam, Rebecca | Issue Date | 1-Dec-2011 | Conference | Proceedings International Conference on Image Processing Icip | ISBN | [9781457713033] | ISSN | 15224880 | DOI | 10.1109/ICIP.2011.6116038 | Scopus ID | 2-s2.0-84856279843 |
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