Name
Title | ||
|---|---|---|
Segmentation of lymph node regions in head-and-neck CT images using a combination of registration and active shape model |
Abstract | ||
|---|---|---|
Segmenting the lymph node regions in head and neck CT images has been a challenging topic in the area of medical image segmentation. The method proposed herein implements an atlas-based technique constrained by an active shape model (ASM) to segment the level II, III and IV lymph nodes as one structure. A leave-one-out evaluation study performed on 15 data sets shows that the results obtained with this technique are better than those obtained with a pure atlas-based segmentation method, in particular in regions of poor contrast. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1117/12.843823 | Proceedings of SPIE |
Keywords | Field | DocType |
head and neck IMRT,nonrigid registration,active shape model | Lymph,Active shape model,Computer vision,Data set,Segmentation,Lymph node regions,Image segmentation,Atlas (anatomy),Artificial intelligence,Physics | Conference |
Volume | ISSN | Citations |
7623 | 0277-786X | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Antong Chen | 1 | 6 | 5.94 |
| matthew a deeley | 2 | 6 | 1.20 |
| Kenneth J. Niermann | 3 | 22 | 2.48 |
| luigi moretti | 4 | 0 | 0.34 |
| Benoit M. Dawant | 5 | 1388 | 223.11 |