Paper Info
Title
Cell-based image partition and edge grouping: a nearly automatic ultrasound image segmentation algorithm for breast cancer computer aided diagnosis
Abstract
This study proposes a nearly automatic ultrasound image segmentation algorithm for computer-aided diagnosis on breast cancer. This method is realized in two phases, i.e., partition phase and edge grouping phase. The two phases are implemented on the cell tessellation, which is generated by two-pass watershed transformation. With this unique integration of the three ingredients, i.e., the partition and grouping phases and cell tessellation, it will be shown that the breast lesion boundaries can be effectively and efficiently detected- even the lesion shape is very uneven. The proposed algorithm can be served as the kernel of CAD system on breast ultrasound to improve the automation and performance.
Year
DOI
Venue
2008
10.1117/12.769995
PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE)
Keywords
Field
DocType
image segmentation,computer-aided diagnosis,breast cancer,ultrasound
Kernel (linear algebra),Breast ultrasound,Computer vision,Breast cancer,Computer-aided diagnosis,Image processing,Algorithm,Image segmentation,Automation,Artificial intelligence,Tessellation,Engineering
Conference
Volume
ISSN
Citations 
6915
0277-786X
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Jie-Zhi Cheng110213.00
kueiwu chen200.34
Yi-Hong Chou3315.47
Chung-Ming Chen417616.17