A supervised texton based approach for automatic segmentation and measurement of the fetal head and femur in 2D ultrasound images

Zhang, L., Ye, X., Lambrou, T. et al. (3 more authors) (2016) A supervised texton based approach for automatic segmentation and measurement of the fetal head and femur in 2D ultrasound images. Physics in Medicine and Biology, 61 (3). pp. 1095-1115. ISSN 0031-9155

Abstract

Metadata

Authors/Creators:
  • Zhang, L.
  • Ye, X.
  • Lambrou, T.
  • Duan, W.
  • Allinson, N.
  • Dudley, N.J.
Copyright, Publisher and Additional Information: © 2018 IOP Publishing. This is an author produced version of a paper subsequently published in Physics in Medicine and Biology. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Algorithms; Female; Femur; Head; Humans; Image Processing, Computer-Assisted; Pregnancy; Signal-To-Noise Ratio; Ultrasonography, Prenatal
Dates:
  • Published: 13 January 2016
  • Accepted: 15 December 2015
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 28 Feb 2018 13:53
Last Modified: 28 Feb 2018 20:52
Published Version: https://doi.org/10.1088/0031-9155/61/3/1095
Status: Published
Publisher: IOP Publishing
Refereed: Yes
Identification Number: https://doi.org/10.1088/0031-9155/61/3/1095
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