URI | http://purl.tuc.gr/dl/dias/DB135096-ED6C-4374-B144-FFE370461A5B | - |
Αναγνωριστικό | https://doi.org/10.1109/IST.2017.8261458 | - |
Αναγνωριστικό | https://ieeexplore.ieee.org/document/8261458 | - |
Γλώσσα | en | - |
Μέγεθος | 7 pages | en |
Τίτλος | Multiresolution bioinspired cross-polarized imaging and biostatistics of lung cancer tissue samples | en |
Δημιουργός | Bauman Gloria | en |
Δημιουργός | Shrestha Suman | en |
Δημιουργός | Mallinson Kiera | en |
Δημιουργός | Giakos Zoe | en |
Δημιουργός | Surovich Michael | en |
Δημιουργός | Wang Yi | en |
Δημιουργός | Ying Nanxu | en |
Δημιουργός | Giakos George C. | en |
Δημιουργός | Livanos Georgios | en |
Δημιουργός | Λιβανος Γεωργιος | el |
Δημιουργός | Zervakis Michail | en |
Δημιουργός | Ζερβακης Μιχαηλ | el |
Εκδότης | Institute of Electrical and Electronics Engineers | en |
Περίληψη | The novelty of this study consists in the development of a technique for efficient discrimination of lung tissues pathologies consisting of squamous carcinomas, at varying grade, stage, including necrotic tissues. Polarimetric measurements using a home-built Whole Slide Imaging (WSI) polarized light imaging system, operating under diffuse reflectance, were obtained. Images were acquired, under diffuse reflectance imaging, then processed through wavelet decomposition, statistically analyzed and compared using Pearson correlation coefficient analysis. The outcome of this study indicates that cross-polarized polarimetric wavelet analysis of samples is proved superior with respect the polarization per se analysis, providing therefore enhanced discrimination. The novel observations of this study can be applied towards the implementation of bioinspired vision systems as well as for further enhancement of the quality of imaging systems and devices in the areas of Whole-Slide Imaging (WSI) in conjunction to virtual Microscopy (VM) and imaging of margins. | en |
Τύπος | Πλήρης Δημοσίευση σε Συνέδριο | el |
Τύπος | Conference Full Paper | en |
Άδεια Χρήσης | http://creativecommons.org/licenses/by/4.0/ | en |
Ημερομηνία | 2019-10-03 | - |
Ημερομηνία Δημοσίευσης | 2018 | - |
Θεματική Κατηγορία | Angular-Resolved Diffuse Measurements | en |
Θεματική Κατηγορία | Discrimination | en |
Θεματική Κατηγορία | Imaging of margins | en |
Θεματική Κατηγορία | Inter-class variance | en |
Θεματική Κατηγορία | Pearson correlation coefficients analysis | en |
Θεματική Κατηγορία | Polarized images | en |
Θεματική Κατηγορία | Statistical analysis | en |
Θεματική Κατηγορία | Virtual Microscopy (VM) | en |
Θεματική Κατηγορία | Wavelet decomposition | en |
Θεματική Κατηγορία | Whole-Slide Imaging (WSI) | en |
Βιβλιογραφική Αναφορά | G. Bauman, S. Shrestha, K. Mallinson, Z. Giakos, M. Surovich, Y. Wang, G. Livanos, M. Zervakis, N. Ying and G.C. Giakos, "Multiresolution bioinspired cross-polarized imaging and biostatistics of lung cancer tissue samples," in 2017 IEEE International Conference on Imaging Systems and Techniques, 2018, pp. 1-6. doi: 10.1109/IST.2017.8261458 | en |