An adaptive 3D region growing algorithm to automatically segment and identify thoracic aorta and its centerline using computed tomography angiography scans

F. Ferreira; J. Dehmeshki; H. Amin; M. E. Dehkordi; A. Belli; A. Jouannic; S. Qanadli

doi:10.1117/12.844220

An adaptive 3D region growing algorithm to automatically segment and identify thoracic aorta and its centerline using computed tomography angiography scans

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

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

Original language	English
DOIs	https://doi.org/10.1117/12.844220
Publication status	Published - Feb 2010
Event	Medical Imaging 2010: Computer-Aided Diagnosis - San Diego, California, U.S.A. Duration: 13 Feb 2010 → 18 Feb 2010

Conference

Conference	Medical Imaging 2010: Computer-Aided Diagnosis
Period	13/02/10 → 18/02/10

Keywords

Computer science and informatics

Access to Document

10.1117/12.844220

http://dx.doi.org/10.1117/12.844220

Cite this

@conference{dfd6a54135d74e2980e89414ef21d94e,

title = "An adaptive 3D region growing algorithm to automatically segment and identify thoracic aorta and its centerline using computed tomography angiography scans",

keywords = "Computer science and informatics",

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

year = "2010",

month = feb,

doi = "10.1117/12.844220",

language = "English",

note = "Medical Imaging 2010: Computer-Aided Diagnosis ; Conference date: 13-02-2010 Through 18-02-2010",

}

Ferreira, F, Dehmeshki, J, Amin, H, Dehkordi, ME, Belli, A, Jouannic, A & Qanadli, S 2010, 'An adaptive 3D region growing algorithm to automatically segment and identify thoracic aorta and its centerline using computed tomography angiography scans', Paper presented at Medical Imaging 2010: Computer-Aided Diagnosis, 13/02/10 - 18/02/10. https://doi.org/10.1117/12.844220

TY - CONF

T1 - An adaptive 3D region growing algorithm to automatically segment and identify thoracic aorta and its centerline using computed tomography angiography scans

AU - Ferreira, F.

AU - Dehmeshki, J.

AU - Amin, H.

AU - Dehkordi, M. E.

AU - Belli, A.

AU - Jouannic, A.

AU - Qanadli, S.

PY - 2010/2

Y1 - 2010/2

KW - Computer science and informatics

U2 - 10.1117/12.844220

DO - 10.1117/12.844220

M3 - Paper

T2 - Medical Imaging 2010: Computer-Aided Diagnosis

Y2 - 13 February 2010 through 18 February 2010

ER -