Automatically seeded region growing approach for automatic segmentation of ascending aorta

Noha A. Seada; Safwat Hamad; Mostafa G.M. Mostafa

doi:10.1145/2908446.2908479

Automatically seeded region growing approach for automatic segmentation of ascending aorta

Noha A. Seada
, Safwat Hamad
, Mostafa G.M. Mostafa

Faculty of Computer and Information Sciences

Producción científica

Idioma original	English
Título de la publicación alojada	International Conference on Informatics and Systems, INFOS 2016
Editorial	Association for Computing Machinery
Páginas	127-132
Número de páginas	6
ISBN (versión digital)	9781450340625
DOI	https://doi.org/10.1145/2908446.2908479
Estado	Published - may 9 2016
Publicado de forma externa	Sí
Evento	10th International Conference on Informatics and Systems, INFOS 2016 - Cairo Duración: may 9 2016 → may 11 2016

Serie de la publicación

Nombre	ACM International Conference Proceeding Series
Volumen	09-11-May-2016

Conference

Conference	10th International Conference on Informatics and Systems, INFOS 2016
País/Territorio	Egypt
Ciudad	Cairo
Período	5/9/16 → 5/11/16

ASJC Scopus Subject Areas

Software
Human-Computer Interaction
Computer Vision and Pattern Recognition
Computer Networks and Communications

Acceder al documento

10.1145/2908446.2908479

Otros archivos y enlaces

Citar esto

Seada, N. A., Hamad, S., & Mostafa, M. G. M. (2016). Automatically seeded region growing approach for automatic segmentation of ascending aorta. En International Conference on Informatics and Systems, INFOS 2016 (pp. 127-132). Artículo 2908479 (ACM International Conference Proceeding Series; Vol. 09-11-May-2016). Association for Computing Machinery. https://doi.org/10.1145/2908446.2908479

Seada, NA, Hamad, S & Mostafa, MGM 2016, Automatically seeded region growing approach for automatic segmentation of ascending aorta. En International Conference on Informatics and Systems, INFOS 2016., 2908479, ACM International Conference Proceeding Series, vol. 09-11-May-2016, Association for Computing Machinery, pp. 127-132, 10th International Conference on Informatics and Systems, INFOS 2016, Cairo, Egypt, 5/9/16. https://doi.org/10.1145/2908446.2908479

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title = "Automatically seeded region growing approach for automatic segmentation of ascending aorta",

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KW - Automatic segmentation

KW - Computed tomography angiography

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