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Tumor Detection using Airways Asymmetry

Onglets principaux

Mancas, Matei [FPMs] Gosselin, Bernard [FPMs] Macq, Benoît [UCL]

A novel tumor detection technique on CT scan images of the neck area is detailed in this paper. This technique is based on an airways' symmetry evolution within slices. The algorithm proposes to the physician a set of three slices where a tumor (if it exists) should mostly be located. Then, he will just have to browse the three slices instead of almost 100 in a CT scan. Our method is very effective and shows no false alarms within the patients in our database. In each of our tests the tumors were found to be close to one of the three proposed slices

Type de document Communication à un colloque (Conference Paper)
Année de publication 2005
Langue Anglais
Conférence "IEEE-EMBC 2005 27th Annual International Conference (IEEE Engineering in Medicine and Biology Society)", Shanghai, China (du 01/09/2005 au 04/09/2005)
Document hôte IEEE ; "IEEE Engineering in Medicine and Biology Society Proceedings"- p. 6528-6531 (ISBN : 0-7803-8741-4)
Affiliations FPMs - TCTS lab
UCL - FSA/ELEC - Département d'électricité
Mots-clés SIGN
Liens
Référence bibliographique Mancas, Matei ; Gosselin, Bernard ; Macq, Benoît. Tumor Detection using Airways Asymmetry .IEEE-EMBC 2005 27th Annual International Conference (IEEE Engineering in Medicine and Biology Society) (Shanghai, China, du 01/09/2005 au 04/09/2005). In: IEEE, IEEE Engineering in Medicine and Biology Society Proceedings, 2005, p. 6528-6531
Permalien http://hdl.handle.net/2078.1/92455