Name
Title | ||
|---|---|---|
Liver segmentation from abdominal CT volumes based on level set and sparse shape composition. |
Abstract | ||
|---|---|---|
•Our method can segment both normal and pathological livers in various shapes.•Our method is capable of dealing with intensity inhomogeneity in object region.•Our method can solve under-segmentation occurred in pathological liver lesions.•Our method is superior to some existing methods. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.cmpb.2020.105533 | Computer Methods and Programs in Biomedicine |
Keywords | DocType | Volume |
Level set,Sparse shape composition,Graph cut,Liver segmentation | Journal | 195 |
ISSN | Citations | PageRank |
0169-2607 | 1 | 0.37 |
References | Authors | |
0 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Li Yang | 1 | 44 | 11.07 |
| Yu-Qian Zhao | 2 | 92 | 9.98 |
| Fan Zhang | 3 | 1 | 0.37 |
| Miao Liao | 4 | 23 | 3.20 |
| Ling-Li Yu | 5 | 1 | 0.37 |
| Bai-Fan Chen | 6 | 1 | 0.37 |
| Yan-Jin Wang | 7 | 1 | 0.37 |