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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	International Conference on Informatics and Systems, INFOS 2016
Publisher	Association for Computing Machinery
Pages	127-132
Number of pages	6
ISBN (Electronic)	9781450340625
DOIs	https://doi.org/10.1145/2908446.2908479
State	Published - May 9 2016
Externally published	Yes
Event	10th International Conference on Informatics and Systems, INFOS 2016 - Cairo, Egypt Duration: May 9 2016 → May 11 2016

Publication series

Name	ACM International Conference Proceeding Series
Volume	09-11-May-2016

Conference

Conference	10th International Conference on Informatics and Systems, INFOS 2016
Country/Territory	Egypt
City	Cairo
Period	5/9/16 → 5/11/16

ASJC Scopus Subject Areas

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

Keywords

Ascending aorta
Automatic seeded region growing
Automatic segmentation
Computed tomography angiography

Access to Document

10.1145/2908446.2908479

Cite this

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

Automatically seeded region growing approach for automatic segmentation of ascending aorta. / Seada, Noha A.; Hamad, Safwat; Mostafa, Mostafa G.M.
International Conference on Informatics and Systems, INFOS 2016. Association for Computing Machinery, 2016. p. 127-132 2908479 (ACM International Conference Proceeding Series; Vol. 09-11-May-2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Seada, NA, Hamad, S & Mostafa, MGM 2016, Automatically seeded region growing approach for automatic segmentation of ascending aorta. in 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",

keywords = "Ascending aorta, Automatic seeded region growing, Automatic segmentation, Computed tomography angiography",

author = "Seada, {Noha A.} and Safwat Hamad and Mostafa, {Mostafa G.M.}",

note = "Publisher Copyright: {\textcopyright} 2016 ACM.; 10th International Conference on Informatics and Systems, INFOS 2016 ; Conference date: 09-05-2016 Through 11-05-2016",

year = "2016",

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doi = "10.1145/2908446.2908479",

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KW - Automatic seeded region growing

KW - Automatic segmentation

KW - Computed tomography angiography

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BT - International Conference on Informatics and Systems, INFOS 2016

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Y2 - 9 May 2016 through 11 May 2016

ER -

Automatically seeded region growing approach for automatic segmentation of ascending aorta

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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Cite this