MO012 : Development of an accurate automated segmentation algorithm to measure total kidney volume in ADPKD suitable for clinical application (The Cystvas Study)

Taylor, J., Thomas, R., Metherall, P. et al. (2 more authors) (2022) MO012 : Development of an accurate automated segmentation algorithm to measure total kidney volume in ADPKD suitable for clinical application (The Cystvas Study). In: Nephrology Dialysis Transplantation. 59th ERA Congress, 19-22 May 2022, Paris, France (and virtual). Oxford University Press

Metadata

Item Type: Proceedings Paper
Authors/Creators:
Copyright, Publisher and Additional Information:

© 2022 The Author(s).
Keywords: Kidney Disease; Biomedical Imaging; Polycystic Kidney Disease; Clinical Research; Bioengineering; Renal and urogenital
Dates:
  • Published: 3 May 2022
  • Published (online): 3 May 2022
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Sheffield Teaching Hospitals
Funding Information:
Funder
Grant number
Sheffield Hospitals Charity
141515-3
Depositing User: Symplectic Sheffield
Date Deposited: 16 May 2022 11:39
Last Modified: 16 May 2022 11:39
Status: Published
Publisher: Oxford University Press
Refereed: Yes
Identification Number: 10.1093/ndt/gfac061.007
Related URLs:
Open Archives Initiative ID (OAI ID):

Export

Statistics


CORE (COnnecting REpositories)