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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chengcui Zhang Wei-Bang Chen Lin Yang Xin Chen |
| Copyright Year | 2007 |
| Description | Author affiliation: Univ. of Alabama at Birmingham, Birmingham (Chengcui Zhang; Wei-Bang Chen; Lin Yang; Xin Chen) |
| Abstract | Leukocyte migration is an important phenomenon in the inflammatory tissue. The migration process includes the rolling velocity decreasing and the leukocytes adhesion. However, the analysis of in vivo microscopy video is a labor-intensive and time consuming task. Several approaches have been proposed for tracking leukocyte movements. However, these approaches can either only track leukocytes that roll along the centerline of the blood vessel, or can only handle leukocytes with fixed morphologies. In addition, the camera/subject movement is a severe problem which occurs frequently while analyzing in vivo microscopy videos. In this paper, we proposed a new method for automatic recognition of non-adherent and adherent leukocytes. The experimental results demonstrate the effectiveness of the proposed method. |
| Starting Page | 68 |
| Ending Page | 71 |
| File Size | 379558 |
| Page Count | 4 |
| File Format | |
| ISBN | 9780769530062 |
| DOI | 10.1109/IPC.2007.19 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-10-11 |
| Publisher Place | South Korea |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | White blood cells Pervasive computing In vivo Tracking Microscopy Morphology Blood vessels Cameras Videos Biomedical imaging |
| Content Type | Text |
| Resource Type | Article |
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