Multi-orientation geometric medical volumes segmentation using 3D multiresolution analysis-Reference-Cited by-同舟云学术

Multi-orientation geometric medical volumes segmentation using 3D multiresolution analysis

Published:2018-12-13 Issue:17 Volume:78 Page:24223-24248
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

AlZu’bi Shadi^ORCID,Jararweh Yaser,Al-Zoubi Hassan,Elbes Mohammed,Kanan Tarek,Gupta Brij

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

http://link.springer.com/content/pdf/10.1007/s11042-018-7003-4.pdf

Reference73 articles.

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3. Al-Ayyoub M, AlZu’bi S, Jararweh Y, Shehab MA, Gupta BB (2018) Accelerating 3d medical volume segmentation using gpus. Multimedia Tools and Applications 77(4):4939–4958. https://doi.org/10.1007/s11042-016-4218-0

4. Al-Zu’bi S, Al-Ayyoub M, Jararweh Y, Shehab MA (2017) Enhanced 3d segmentation techniques for reconstructed 3d medical volumes: robust and accurate intelligent system. Procedia Computer Science 113:531–538. https://doi.org/10.1016/j.procs.2017.08.318 . http://www.sciencedirect.com/science/article/pii/S1877050917317283 , the 8th international conference on emerging ubiquitous systems and pervasive networks (EUSPN 2017)

5. AlZu’bi S, Amira A (2010) 3d medical volume segmentation using hybrid multiresolution statistical approaches. Adv Artificial Intellegence 2010:520,427:1–520,427:15

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