Loading...
Please wait, while we are loading the content...
Similar Documents
A statistically based flow for image segmentation
| Content Provider | PubMed Central |
|---|---|
| Author | Pichon, Eric Tannenbaum, Allen Ron, Kikinis |
| Copyright Year | 2004 |
| Abstract | In this paper we present a new algorithm for 3D medical image segmentation. The algorithm is versatile, fast, relatively simple to implement, and semi-automatic. It is based on minimizing a global energy defined from a learned non-parametric estimation of the statistics of the region to be segmented. Implementation details are discussed and source code is freely available as part of the 3D Slicer project. In addition, a new unified set of validation metrics is proposed. Results on artificial and real MRI images show that the algorithm performs well on large brain structures both in terms of accuracy and robustness to noise. |
| Related Links | http://dx.doi.org/10.1016/j.media.2004.06.006 |
| File Format | |
| ISSN | 13618415 |
| e-ISSN | 13618423 |
| Journal | Medical image analysis |
| Issue Number | 3 |
| Volume Number | 8 |
| Language | English |
| Publisher Date | 2004-09-01 |
| Access Restriction | Open |
| Subject Keyword | Radiological and Ultrasound Technology Health Informatics Radiology Nuclear Medicine and imaging Computer Vision and Pattern Recognition Computer Graphics and Computer-Aided Design Research in Higher Education |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Graphics and Computer-Aided Design Radiology, Nuclear Medicine and Imaging Health Informatics Computer Vision and Pattern Recognition Radiological and Ultrasound Technology |
