DocumentCode
3179690
Title
Automatic Mass Segmentation Based on Adaptive Pyramid and Sublevel Set Analysis
Author
Ma, Fei ; Bajger, Mariusz ; Bottema, Murk J.
Author_Institution
Flinders Univ., Adelaide, SA, Australia
fYear
2009
fDate
1-3 Dec. 2009
Firstpage
236
Lastpage
241
Abstract
A method based on sublevel sets is presented for refining segmentation of screening mammograms. Initial segmentation is provided by an adaptive pyramid (AP) scheme which is viewed as seeding of the final segmentation by sublevel sets. Performance is tested with and without prior anisotropic smoothing and is compared to refinement based on component merging. The combination of anisotropic smoothing, AP segmentation and sublevel refinement is found to outperform other combinations.
Keywords
image segmentation; mammography; medical image processing; set theory; adaptive pyramid analysis; anisotropic smoothing; automatic mass segmentation; component merging; screening mammograms; sublevel refinement; sublevel set analysis; Anisotropic magnetoresistance; Breast; Computer applications; Digital images; Image segmentation; Level set; Mammography; Shape; Smoothing methods; Testing; inclusion tree; mammogram; segmentation; sublevel set;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Image Computing: Techniques and Applications, 2009. DICTA '09.
Conference_Location
Melbourne, VIC
Print_ISBN
978-1-4244-5297-2
Electronic_ISBN
978-0-7695-3866-2
Type
conf
DOI
10.1109/DICTA.2009.47
Filename
5384973
Link To Document