Real-time automated image segmentation technique for cerebral aneurysm on reconfigurable system-on-chip Article

Zhai, Xiaojun, Eslami, Mohammad, Hussein, Ealaf Sayed et al. (2018). Real-time automated image segmentation technique for cerebral aneurysm on reconfigurable system-on-chip . Journal of Computational Science, 27 35-45. 10.1016/j.jocs.2018.05.002

International Collaboration

cited authors

  • Zhai, Xiaojun; Eslami, Mohammad; Hussein, Ealaf Sayed; Filali, Maroua Salem; Shalaby, Salma Tarek; Amira, Abbes; Bensaali, Faycal; Dakua, Sarada; Abinahed, Julien; Al-Ansari, Abdulla; Ahmed, Ayman Z

sustainable development goals

authors

publication date

  • July 1, 2018

published in

keywords

  • 3DRA
  • Cerebral aneurysm
  • Computer Science
  • Computer Science, Interdisciplinary Applications
  • Computer Science, Theory & Methods
  • FILTER
  • FPGA
  • GEODESIC ACTIVE REGIONS
  • Image segmentation
  • Science & Technology
  • Technology
  • VASCULATURE
  • Zynq SoC

Digital Object Identifier (DOI)

start page

  • 35

end page

  • 45

volume

  • 27