Bayesian polytrees with learned deep features for multi-class cell segmentation

Fehri, H., Gooya, A., Lu, Y. et al. (3 more authors) (2019) Bayesian polytrees with learned deep features for multi-class cell segmentation. IEEE Transactions on Image Processing, 28 (7). pp. 3246-3260. ISSN 1057-7149

Abstract

Metadata

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

© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy.

Keywords: Hierarchical graphs; cell and nucleus segmentation; multi-class segmentation; error prediction
Dates:
  • Published: July 2019
  • Published (online): 25 January 2019
  • Accepted: 8 January 2019
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Sheffield Teaching Hospitals
Funding Information:
Funder
Grant number
MEDICAL RESEARCH COUNCIL
C0494
Depositing User: Symplectic Sheffield
Date Deposited: 04 Feb 2019 16:25
Last Modified: 17 Nov 2021 09:31
Status: Published
Publisher: Institute of Electrical and Electronics Engineers
Refereed: Yes
Identification Number: 10.1109/tip.2019.2895455
Open Archives Initiative ID (OAI ID):

Export

Statistics