Name
Abstract | ||
|---|---|---|
Accurate segmentation of Glioblastoma multiforme (GBM) from MR images is important for sub-typing in diagnosis, determining tumor margins in surgical planning, and selecting appropriate therapies. However, it is a challenging and time-consuming task because GBM has a variety of imaging characteristics and often deforms nearby tissues in the brain. In this paper, we propose a support vector machine (SVM) active learning approach to address the problem of GBM segmentation from multi-modal MR images. First, a knowledge-based fuzzy clustering algorithm is performed to segment the brain tissues into six classes including white matter (WM), grey matter (GM), cerebrospinal fluid (CSF), T2-hyperintense regions, necrosis and enhanced tumor. Then, the SVM active learning approach is applied to refine the segmentation. Comparative studies with other segmentation methods indicate that the proposed algorithm can segment GBM more accurately. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/ISBI.2012.6235619 | ISBI |
Keywords | Field | DocType |
automated glioblastoma segmentation,svm active learning approach,enhanced tumor,t2-hyperintense regions,surgical planning,white matter,neurophysiology,learning (artificial intelligence),glioblastoma,image segmentation,brain tissues,svm,knowledge-based fuzzy clustering algorithm,active learning,support vector machine active learning approach,multimodal mr imaging,cerebrospinal fluid,biomedical mri,proposed algorithm,brain,tumours,gbm segmentation,grey matter,support vector machines,necrosis,medical image processing,clustering,glioblastoma multiforme,learning artificial intelligence,knowledge base,support vector machine,decision support systems,decision support system,comparative study,fuzzy clustering | Fuzzy clustering,Surgical planning,Grey matter,Computer science,Image segmentation,Artificial intelligence,Cluster analysis,Computer vision,Active learning,Pattern recognition,Segmentation,Support vector machine,Machine learning | Conference |
Volume | Issue | ISSN |
null | null | 1945-7928 |
ISBN | Citations | PageRank |
978-1-4577-1857-1 | 0 | 0.34 |
References | Authors | |
7 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Po Su | 1 | 6 | 1.81 |
| Zhong Xue | 2 | 7 | 3.20 |
| Linda Chi | 3 | 3 | 0.80 |
| Jianhua Yang | 4 | 17 | 2.70 |
| Stephen T. Wong | 5 | 33 | 6.97 |