Unsupervised content classification based non-rigid registration of differently stained histology images.

Song, Y, Treanor, D, Bulpitt, AJ et al. (4 more authors) (2014) Unsupervised content classification based non-rigid registration of differently stained histology images. IEEE Transactions on Biomedical Engineering, 61 (1). ISSN 0018-9294

Abstract

Metadata

Authors/Creators:
  • Song, Y
  • Treanor, D
  • Bulpitt, AJ
  • Wijayathunga, N
  • Roberts, N
  • Wilcox, R
  • Magee, DR
Copyright, Publisher and Additional Information: (c) 2014, IEEE. This is an open access article under the terms of the Creative Commons Attribution License CC-BY 3.0
Keywords: computerized diagnosis; digital pathology; histology registration; image analysis; multistains; mutual information; virtual slides
Dates:
  • Published: January 2014
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Computing (Leeds) > Artificial Intelligence & Biological Systems (Leeds)
The University of Leeds > Faculty of Engineering (Leeds) > School of Mechanical Engineering (Leeds) > Institute of Medical and Biological Engineering (iMBE) (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 10 Nov 2014 11:29
Last Modified: 10 Nov 2014 11:29
Published Version: http://dx.doi.org/10.1109/TBME.2013.2277777
Status: Published
Publisher: Institute of Electrical and Electronics Engineers
Identification Number: https://doi.org/10.1109/TBME.2013.2277777

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