The Digital Tumor Images System Design and its Contour Detection Using an Improved Level Set Algorithm
Authors
Na Ying, Jianwei Liu, Xuzhen Wang, Qingbiao Yang, Giakos George, Qinfang Wang
Corresponding Author
Na Ying
Available Online November 2014.
- DOI
- 10.2991/meic-14.2014.390How to use a DOI?
- Keywords
- Polarized Light, Brain Cancer Detection, Digital Pathology,Level Set
- Abstract
Because digital diagnostic pathology allows people to acquire, store and analyze pathological information from the images of immunohistochemical glass slides which are scanned to create digital slides, this paper introduced a system design to convert the slides to digital images And it has become one of the most valuable and convenient advancements in technology over the past years. According to the built system, this paper acquired and analyzed the digital pictures from the slides. This analyzed method introduced OSTU segment and an improved fast level set algorithm to outline the tumor contour. Simulations results show that the image analyze algorithm is effective to segment the tumor from the other parts.
- Copyright
- © 2014, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Na Ying AU - Jianwei Liu AU - Xuzhen Wang AU - Qingbiao Yang AU - Giakos George AU - Qinfang Wang PY - 2014/11 DA - 2014/11 TI - The Digital Tumor Images System Design and its Contour Detection Using an Improved Level Set Algorithm BT - Proceedings of the 2014 International Conference on Mechatronics, Electronic, Industrial and Control Engineering PB - Atlantis Press SP - 1732 EP - 1735 SN - 2352-5401 UR - https://doi.org/10.2991/meic-14.2014.390 DO - 10.2991/meic-14.2014.390 ID - Ying2014/11 ER -