TY - GEN
T1 - An adaptive approach to the segmentation of dce-mr images of the breast
T2 - 2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing, CIISP 2007
AU - Kaleli, Fatih
AU - Aydin, Nizamettin
AU - Ertas, Gokhan
AU - Ozcan Gulcur, H.
PY - 2007
Y1 - 2007
N2 - The segmentation of MR images has been playing an important role to improve the detection and diagnosis of breast cancer. Main problem in breast images is the identification of the boundary between chest wall and breast tissue. Minimizing the effects of patient motion is also important step in segmentation process. In image processing, there are many different segmentation algorithms. The most common used method among them is thresholding. However, classic thresholding methods are not effective for axial MR breast images completely because of the fact that the sequence artifacts in axial MR breast images are very high. For this reason, we have proposed a regional thresholding algorithm to segment MR images successfully. The outstanding problem is how to obtain an automatic procedure for detecting boundary between breast tissue and chest wall.
AB - The segmentation of MR images has been playing an important role to improve the detection and diagnosis of breast cancer. Main problem in breast images is the identification of the boundary between chest wall and breast tissue. Minimizing the effects of patient motion is also important step in segmentation process. In image processing, there are many different segmentation algorithms. The most common used method among them is thresholding. However, classic thresholding methods are not effective for axial MR breast images completely because of the fact that the sequence artifacts in axial MR breast images are very high. For this reason, we have proposed a regional thresholding algorithm to segment MR images successfully. The outstanding problem is how to obtain an automatic procedure for detecting boundary between breast tissue and chest wall.
UR - http://www.scopus.com/inward/record.url?scp=34548777673&partnerID=8YFLogxK
U2 - 10.1109/CIISP.2007.369198
DO - 10.1109/CIISP.2007.369198
M3 - Conference contribution
AN - SCOPUS:34548777673
SN - 1424407079
SN - 9781424407071
T3 - Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing, CIISP 2007
SP - 375
EP - 379
BT - Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing, CIISP 2007
Y2 - 1 April 2007 through 5 April 2007
ER -
