An adaptive approach to the segmentation of dce-mr images of the breast: Comparison with classical thresholding algorithms

Fatih Kaleli; Nizamettin Aydin; Gokhan Ertas; H. Ozcan Gulcur

doi:10.1109/CIISP.2007.369198

An adaptive approach to the segmentation of dce-mr images of the breast: Comparison with classical thresholding algorithms

Fatih Kaleli^*
, Nizamettin Aydin
, Gokhan Ertas
, H. Ozcan Gulcur

^*Corresponding author for this work

Bahcesehir University
Bogazici University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing, CIISP 2007
Pages	375-379
Number of pages	5
DOIs	https://doi.org/10.1109/CIISP.2007.369198
Publication status	Published - 2007
Externally published	Yes
Event	2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing, CIISP 2007 - Honolulu, HI, United States Duration: 1 Apr 2007 → 5 Apr 2007

Publication series

Name	Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing, CIISP 2007

Conference

Conference	2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing, CIISP 2007
Country/Territory	United States
City	Honolulu, HI
Period	1/04/07 → 5/04/07

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Access to Document

10.1109/CIISP.2007.369198

Cite this

Kaleli, F., Aydin, N., Ertas, G., & Ozcan Gulcur, H. (2007). An adaptive approach to the segmentation of dce-mr images of the breast: Comparison with classical thresholding algorithms. In Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing, CIISP 2007 (pp. 375-379). Article 4221448 (Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing, CIISP 2007). https://doi.org/10.1109/CIISP.2007.369198

Kaleli, Fatih ; Aydin, Nizamettin ; Ertas, Gokhan et al. / An adaptive approach to the segmentation of dce-mr images of the breast : Comparison with classical thresholding algorithms. Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing, CIISP 2007. 2007. pp. 375-379 (Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing, CIISP 2007).

@inproceedings{cb46e641fac744979269c4b01ef7f6a8,

title = "An adaptive approach to the segmentation of dce-mr images of the breast: Comparison with classical thresholding algorithms",

abstract = "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.",

author = "Fatih Kaleli and Nizamettin Aydin and Gokhan Ertas and \{Ozcan Gulcur\}, H.",

year = "2007",

doi = "10.1109/CIISP.2007.369198",

language = "English",

isbn = "1424407079",

series = "Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing, CIISP 2007",

pages = "375--379",

booktitle = "Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing, CIISP 2007",

note = "2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing, CIISP 2007 ; Conference date: 01-04-2007 Through 05-04-2007",

}

Kaleli, F, Aydin, N, Ertas, G & Ozcan Gulcur, H 2007, An adaptive approach to the segmentation of dce-mr images of the breast: Comparison with classical thresholding algorithms. in Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing, CIISP 2007., 4221448, Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing, CIISP 2007, pp. 375-379, 2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing, CIISP 2007, Honolulu, HI, United States, 1/04/07. https://doi.org/10.1109/CIISP.2007.369198

An adaptive approach to the segmentation of dce-mr images of the breast: Comparison with classical thresholding algorithms. / Kaleli, Fatih; Aydin, Nizamettin; Ertas, Gokhan et al.
Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing, CIISP 2007. 2007. p. 375-379 4221448 (Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing, CIISP 2007).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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 - https://www.scopus.com/pages/publications/34548777673

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 -

Kaleli F, Aydin N, Ertas G, Ozcan Gulcur H. An adaptive approach to the segmentation of dce-mr images of the breast: Comparison with classical thresholding algorithms. In Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing, CIISP 2007. 2007. p. 375-379. 4221448. (Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing, CIISP 2007). doi: 10.1109/CIISP.2007.369198

An adaptive approach to the segmentation of dce-mr images of the breast: Comparison with classical thresholding algorithms

Abstract

Publication series

Conference

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this