An adaptive 3D region growing algorithm to automatically segment and identify the thoracic aorta using CT angiography

F. Ferreira, J. Dehmeshki, H Amin, M.M.E. Dehkordi, A.A. Britten, A. Belli, A. Jouannic, S.D. Qanadli

Research output: Contribution to conference › Poster › peer-review

Original language	English
Publication status	Published - Nov 2009
Event	10th Annual Meeting of the Union of Vascular Societies of Switzerland - Lausanne, Switzerland Duration: 4 Nov 2009 → 6 Nov 2009

Conference	10th Annual Meeting of the Union of Vascular Societies of Switzerland
Period	4/11/09 → 6/11/09

Keywords

@conference{e53af6b6561d4a9982601b8d93824689,

title = "An adaptive 3D region growing algorithm to automatically segment and identify the thoracic aorta using CT angiography",

keywords = "Computer science and informatics",

author = "F. Ferreira and J. Dehmeshki and H Amin and M.M.E. Dehkordi and A.A. Britten and A. Belli and A. Jouannic and S.D. Qanadli",

year = "2009",

month = nov,

language = "English",

note = "10th Annual Meeting of the Union of Vascular Societies of Switzerland ; Conference date: 04-11-2009 Through 06-11-2009",

}

TY - CONF

T1 - An adaptive 3D region growing algorithm to automatically segment and identify the thoracic aorta using CT angiography

AU - Ferreira, F.

AU - Dehmeshki, J.

AU - Amin, H

AU - Dehkordi, M.M.E.

AU - Britten, A.A.

AU - Belli, A.

AU - Jouannic, A.

AU - Qanadli, S.D.

PY - 2009/11

Y1 - 2009/11

KW - Computer science and informatics

M3 - Poster

T2 - 10th Annual Meeting of the Union of Vascular Societies of Switzerland

Y2 - 4 November 2009 through 6 November 2009

ER -