Title | ||
---|---|---|
Single-Channel Sparse Non-Negative Blind Source Separation Method for Automatic 3-D Delineation of Lung Tumor in PET Images. |
Abstract | ||
---|---|---|
In this paper, we propose a novel method for single-channel blind separation of nonoverlapped sources and, to the best of our knowledge, apply it for the first time to automatic segmentation of lung tumors in positron emission tomography (PET) images. Our approach first converts a 3-D PET image into a pseudo-multichannel image. Afterward, regularization free sparseness constrained non-negative mat... |
Year | DOI | Venue |
---|---|---|
2017 | 10.1109/JBHI.2016.2624798 | IEEE Journal of Biomedical and Health Informatics |
Keywords | Field | DocType |
Positron emission tomography,Tumors,Image segmentation,Lungs,Computed tomography,Three-dimensional displays,Cancer | Standardized uptake value,Cut,Computer vision,Affinity propagation,Pattern recognition,Computer science,Segmentation,Matrix decomposition,Artificial intelligence,Non-negative matrix factorization,Positron emission tomography,Blind signal separation | Journal |
Volume | Issue | ISSN |
21 | 6 | 2168-2194 |
Citations | PageRank | References |
0 | 0.34 | 27 |
Authors | ||
9 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ivica Kopriva | 1 | 146 | 16.60 |
Wei Ju | 2 | 2 | 0.71 |
Bin Zhang | 3 | 60 | 40.23 |
Fei Shi | 4 | 24 | 5.42 |
Dehui Xiang | 5 | 17 | 2.40 |
Kai Yu | 6 | 82 | 13.41 |
Ximing Wang | 7 | 6 | 1.13 |
Ulaş Bağcı | 8 | 77 | 9.70 |
XinJian Chen | 9 | 502 | 53.39 |