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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Doukas, C.N. Maglogiannis, I. Chatziioannou, A. Papapetropoulos, A. |
| Copyright Year | 2006 |
| Description | Author affiliation: Dep. of Inf. & Commun. Syst. Eng., Univ. of Aegean, Samos (Doukas, C.N.; Maglogiannis, I.) |
| Abstract | Angiogenesis, the formation of blood vessels in tumors, is an interactive process between tumor, endothelial and stromal cells in order to create a network for oxygen and nutrients supply, necessary for tumor growth. According to this, angiogenic activity is considered a suitable method for both tumor growth or inhibition detection. The angiogenic potential is usually estimated by counting the number of blood vessels in particular sections. One of the most popular assay tissues to study the angiogenesis phenomenon is the developing chick embryo and its chorioallantoic membrane (CAM), which is a highly vascular structure lining the inner surface of the egg shell. The aim of this study was to develop and validate an automated image analysis method that would give an unbiased quantification of the micro-vessel density and growth in angiogenic CAM images. The presented method has been validated by comparing automated results to manual counts over a series of digital chick embryo photos. The results indicate the high accuracy of the tool, which has been thus extensively used for tumor growth detection at different stages of embryonic development |
| Sponsorship | IEEE EMB |
| Starting Page | 2345 |
| Ending Page | 2348 |
| File Size | 561734 |
| Page Count | 4 |
| File Format | |
| ISBN | 1424400325 |
| ISSN | 1557170X |
| DOI | 10.1109/IEMBS.2006.260675 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-08-30 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image processing Neoplasms Embryo Blood vessels Biomedical imaging Computer aided manufacturing CADCAM Cells (biology) Biomembranes Image analysis |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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