Name
Title | ||
|---|---|---|
Multireference level set for the characterization of nuclear morphology in glioblastoma multiforme. |
Abstract | ||
|---|---|---|
Histological tissue sections provide rich information and continue to be the gold standard for the assessment of tissue neoplasm. However, there are a significant amount of technical and biological variations that impede analysis of large histological datasets. In this paper, we have proposed a novel approach for nuclear segmentation in tumor histology sections, which addresses the problem of tech... |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/TBME.2012.2218107 | IEEE Transactions on Biomedical Engineering |
Keywords | Field | DocType |
Image color analysis,Neoplasms,Tumors,Image segmentation,Biological tissues,Image edge detection,Biomedical image processing | Computer vision,Glioblastoma,Segmentation,Tissue section,Computer science,Level set,Image segmentation,Pixel,Artificial intelligence | Journal |
Volume | Issue | ISSN |
59 | 12 | 0018-9294 |
Citations | PageRank | References |
9 | 0.72 | 14 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hang Chang | 1 | 374 | 29.11 |
| Ju Han | 2 | 145 | 8.74 |
| Paul Spellman | 3 | 453 | 43.25 |
| Bahram Parvin | 4 | 995 | 65.01 |