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

^*Bu çalışma için yazışmadan sorumlu yazar

Bahcesehir University
Bogazici University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

4 Atıf (Scopus)

Özet

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.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing, CIISP 2007
Sayfalar	375-379
Sayfa sayısı	5
DOI'lar	https://doi.org/10.1109/CIISP.2007.369198
Yayın durumu	Yayınlandı - 2007
Harici olarak yayınlandı	Evet
Etkinlik	2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing, CIISP 2007 - Honolulu, HI, United States Süre: 1 Nis 2007 → 5 Nis 2007

Yayın serisi

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

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???event.eventtypes.event.conference???	2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing, CIISP 2007
Ülke/Bölge	United States
Şehir	Honolulu, HI
Periyot	1/04/07 → 5/04/07

BM SKH

Bu sonuç, aşağıdaki Sürdürülebilir Kalkınma Hedefine/Hedeflerine katkıda bulunur

SKH 3 Sağlık ve Kaliteli Yaşam

Belgeye Erişim

10.1109/CIISP.2007.369198

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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). Makale 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).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

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

Özet

Yayın serisi

???event.eventtypes.event.conference???

BM SKH

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap