Methods for segmentation and classification of digital microscopy tissue images

Vu, Q.D., Graham, S., Kurc, T. et al. (12 more authors) (2019) Methods for segmentation and classification of digital microscopy tissue images. Frontiers in Bioengineering and Biotechnology, 7. 53. ISSN 2296-4185



  • Vu, Q.D.
  • Graham, S.
  • Kurc, T.
  • To, M.N.N.
  • Shaban, M.
  • Qaiser, T.
  • Koohbanani, N.A.
  • Khurram, S.A. ORCID logo
  • Kalpathy-Cramer, J.
  • Zhao, T.
  • Gupta, R.
  • Kwak, J.T.
  • Rajpoot, N.
  • Saltz, J.
  • Farahani, K.
Copyright, Publisher and Additional Information: © 2019 Vu, Graham, Kurc, To, Shaban, Qaiser, Koohbanani, Khurram, Kalpathy-Cramer, Zhao, Gupta, Kwak, Rajpoot, Saltz and Farahani. This is an open-access article distributed under the terms of the Creative Commons Attribution License ( The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Keywords: digital pathology; tissue images; image analysis; segmentation; classification
  • Accepted: 1 March 2019
  • Published (online): 2 April 2019
  • Published: 2 April 2019
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Dentistry (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 29 Apr 2019 10:48
Last Modified: 29 Apr 2019 10:48
Status: Published
Publisher: Frontiers Media
Refereed: Yes
Identification Number:
Related URLs:


Share / Export