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An adaptive 3D region growing algorithm to automatically segment and identify thoracic aorta and its centerline using Computed Tomography Angiography Scans

Ferreira, F, Dehmeshki, J, Amin, H, Dehkordi, ME, Belli, A, Jouannic, A and Qanadli, S (2010) An adaptive 3D region growing algorithm to automatically segment and identify thoracic aorta and its centerline using Computed Tomography Angiography Scans In: Conference on Medical Imaging 2010 - Computer-Aided Diagnosis, 2010-02-16 - 2010-02-18, San Diego, CA.

Full text not available from this repository.
Item Type: Conference or Workshop Item (UNSPECIFIED)
Authors :
NameEmailORCID
Ferreira, Ff.ferreira@surrey.ac.ukUNSPECIFIED
Dehmeshki, JUNSPECIFIEDUNSPECIFIED
Amin, HUNSPECIFIEDUNSPECIFIED
Dehkordi, MEUNSPECIFIEDUNSPECIFIED
Belli, AUNSPECIFIEDUNSPECIFIED
Jouannic, AUNSPECIFIEDUNSPECIFIED
Qanadli, SUNSPECIFIEDUNSPECIFIED
Date : 1 January 2010
Identification Number : https://doi.org/10.1117/12.844220
Contributors :
ContributionNameEmailORCID
UNSPECIFIEDKarssemeijer, NUNSPECIFIEDUNSPECIFIED
UNSPECIFIEDSummers, RMUNSPECIFIEDUNSPECIFIED
publisherSPIE-INT SOC OPTICAL ENGINEERING, UNSPECIFIEDUNSPECIFIED
Uncontrolled Keywords : Science & Technology, Technology, Physical Sciences, Life Sciences & Biomedicine, Engineering, Biomedical, Optics, Radiology, Nuclear Medicine & Medical Imaging, Engineering, CAD, CTA, Region Growing, TAA
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 10:05
Last Modified : 17 May 2017 14:47
URI: http://epubs.surrey.ac.uk/id/eprint/826359

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