Paper Info
Title
Semiautomatic snake-based segmentation of solid breast nodules on ultrasonography
Abstract
Ultrasonography plays a crucial role in the diagnosis of breast cancer. However, it is one of the most difficult types of images to segment and analyze. The presence of speckle noise and low contrast areas limits the success of most noise reduction filters and segmentation algorithms. In this paper, we propose a combination of different techniques which provide quite satisfactory results in the segmentation of breast tumors on ultrasonography. It is performed in a semiautomatic way, which eliminates the need for a manual delineation of the contour of the nodules. These techniques include the truncated median filter, a region-growing algorithm and active contours. Furthermore, this can be the initial phase for an exhaustive analysis of the diagnostic criteria in breast ultrasound.
Year
DOI
Venue
2005
10.1007/11556985_60
EUROCAST
Keywords
Field
DocType
different technique,crucial role,segmentation algorithm,breast tumor,breast cancer,semiautomatic snake-based segmentation,solid breast nodule,speckle noise,diagnostic criterion,noise reduction filter,breast ultrasound,active contour,noise reduction,ultrasound,ultrasonography,region growing,median filter
Breast ultrasound,Active contour model,Noise reduction,Computer vision,Median filter,Breast cancer,Computer science,Segmentation,Image segmentation,Artificial intelligence,Speckle noise
Conference
Volume
ISSN
ISBN
3643
0302-9743
3-540-29002-8
Citations 
PageRank 
References 
1
0.39
3
Authors
6
Name
Order
Citations
PageRank
Miguel Alemán-Flores16912.06
Patricia Alemán-Flores222.45
Luis Álvarez-León3123.77
M. Belén Esteban-Sánchez411.06
Rafael Fuentes-Pavón522.11
José M. Santana-Montesdeoca610.72