The Digital Tumor Images System Design and its Contour Detection Using an Improved Level Set Algorithm

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/).

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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  -