Name
Title | ||
|---|---|---|
Subject-Specific prior shape knowledge in feature-oriented probability maps for fully automatized liver segmentation in MR volume data. |
Abstract | ||
|---|---|---|
•Fully automatized liver segmentation approach for native MR volume data•Subject-specific prior liver shape incorporation into level set segmentation•Liver tissue-specific probability map generation combining all MR contrasts•Consideration of inner-organ MR-differences and recognition of fat livers and cysts•Novel alignment and attraction techniques for exact liver delineation |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.patcog.2018.07.018 | Pattern Recognition |
Keywords | Field | DocType |
Expectation maximization,Subject-specific shape model,3D prior shape level set segmentation,Bayesian probability,Normalized cross correlation,Principal component analysis | Pattern recognition,Segmentation,Level set segmentation,Test data,Artificial intelligence,Dice,Mathematics | Journal |
Volume | Issue | ISSN |
84 | 1 | 0031-3203 |
Citations | PageRank | References |
1 | 0.35 | 26 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Oliver Gloger | 1 | 27 | 2.99 |
| Klaus D. Tönnies | 2 | 215 | 44.39 |