Ιδρυματικό Αποθετήριο
Πολυτεχνείο Κρήτης
Πολυτεχνείο Κρήτης
EN
|
EL
| URI | http://purl.tuc.gr/dl/dias/D4A6B1CF-621C-4C7A-BEA9-2B6D0F48E9FA | - |
| Αναγνωριστικό | https://doi.org/10.1109/IST.2013.6729674 | - |
| Γλώσσα | en | - |
| Μέγεθος | 5 pages | en |
| Τίτλος | An automated digital fluorescence imaging system of tumor margins using clustering-based image thresholding | en |
| Δημιουργός | Zervakis Michalis | en |
| Δημιουργός | Ζερβακης Μιχαλης | el |
| Δημιουργός | Chhaya Narayan | en |
| Δημιουργός | Sanjeeb Shrestha | en |
| Δημιουργός | George Giakos | en |
| Δημιουργός | Tannaz Farrahi | en |
| Εκδότης | Institute of Electrical and Electronics Engineers | en |
| Περίληψη | An optical system for efficient fluorescence imaging of cancer margins aiming at enhanced discrimination of the tumor area from the surrounding normal tissue, is presented. Fluorescence imaging was used to acquire grayscale images of brain tumor samples of 10 μm slice thickness. The tumor cells are characterized as Gli36Δ5 cells expressing Green Fluorescent Protein (GFP). An image processing technique involving the clustering-based concept of Otsu segmentation was applied to enhance the contrast and difference between the tumor and the rest of the tissue for improved visualization of tumor margins. Edge detection was performed on these processed images to mark the boundaries of the tumor area. The fluorescence imaging results depict clear demarcation of tumor boundary and a substantial improvement of the contrast, post processing. | en |
| Τύπος | Αφίσα σε Συνέδριο | el |
| Τύπος | Conference Poster | en |
| Άδεια Χρήσης | http://creativecommons.org/licenses/by/4.0/ | en |
| Ημερομηνία | 2015-10-24 | - |
| Ημερομηνία Δημοσίευσης | 2013 | - |
| Θεματική Κατηγορία | Clinical laboratory technicians | en |
| Θεματική Κατηγορία | Medical laboratory technicians | en |
| Θεματική Κατηγορία | medical technologists | en |
| Θεματική Κατηγορία | clinical laboratory technicians | en |
| Θεματική Κατηγορία | medical laboratory technicians | en |
| Βιβλιογραφική Αναφορά | G. Giakos, A. Deshpande, T. Quang, T. Farrahi, C. Narayan, S. Shrestha, M. Zervakis, G.Livanos, E. Bei ,"An automated digital fluorescence imaging system of tumor margins using clustering-based image thresholding ,"in 2013 Intern.Conf. on Imaging Systems and Tech. (IST),pp.116-120.doi :10.1109/IST.2013.6729674 | en |
Copyright © DIAS 2013
