DocumentCode :
692643
Title :
Survey on brain tumor segmentation methods
Author :
Hongzhe Yang ; Lihui Zhao ; Songyuan Tang ; Yongtian Wang
Author_Institution :
Dept. of Comput. Sci., Beijing Inst. of Technol., Beijing, China
fYear :
2013
fDate :
19-20 Oct. 2013
Firstpage :
140
Lastpage :
145
Abstract :
The segmentation of brain tumor using Magnetic Resonance Image (MRI) plays an important role in the medical image process. This paper presents a comprehensive survey on brain tumor methods and technology using MRI images. Generally, brain tumor segmentation methods can divided into two main categories, spatial continuous and spatial discrete methods. Several methods, techniques, related advantage and weakness will be described and discussed. The evaluation measures are mentioned and the qualities of different method focus on the methods that were applied on the standard data sets. The efficient and stably brain tumor segmentation is still a challenging task for the unpredictable appearance and shape of the brain tumor.
Keywords :
biomedical MRI; brain; image segmentation; medical image processing; tumours; MRI; brain tumor appearance; brain tumor segmentation methods; brain tumor shape; magnetic resonance imaging; medical image processing; spatial continuous methods; spatial discrete methods; standard data sets; Biomedical imaging; Brain modeling; Deformable models; Image segmentation; Magnetic resonance imaging; Tumors; Magnetic Resonance Image; brain tumor segmentation; segmentation; survey;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Medical Imaging Physics and Engineering (ICMIPE), 2013 IEEE International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4799-6305-8
Type :
conf
DOI :
10.1109/ICMIPE.2013.6864521
Filename :
6864521
Link To Document :
بازگشت