Paper Info
Title
Prostate Boundary Detection in Ultrasound Images Based on Type-II Fuzzy Sets and Modified Fuzzy C-Means
Abstract
Estimation of prostate location and volume is essential in determining a dose plan for ultrasound-guided brachytherapy, a common prostate cancer treatment. However, manual segmentation of the prostate area is difficult, time consuming and prone to variability. In this paper, we present an automated approach to prostate boundary detection in ultrasound images. First, we utilise type-II fuzzy sets to enhance the contrast of the prostate image. This is followed by a modified fuzzy c-means clustering algorithm in order to detect the actual boundary of the prostate pattern. To evaluate the performance of our approach, we present tests on different prostate ultrasound images and show that the overall accuracy offered by the employed approach is high.
Year
DOI
Venue
2009
10.1007/978-3-642-11282-9_20
SOFT COMPUTING IN INDUSTRIAL APPLICATIONS - ALGORITHMS, INTEGRATION, AND SUCCESS STORIES
Field
DocType
Volume
Computer vision,Computer science,Segmentation,Fuzzy logic,Fuzzy set,Brachytherapy,Prostate,Artificial intelligence,Prostate cancer,Cluster analysis,Membership function
Conference
75
ISSN
Citations 
PageRank 
1867-5662
0
0.34
References 
Authors
6
3
Name
Order
Citations
PageRank
Aboul Ella Hassanien11610192.72
Gerald Schaefer225530.81
Hameed Al-Qaheri3329.31