Mitosis detection in breast cancer histopathology images

This page contains resources related to the collaboration between the Universities of Surrey and Sheffield for our submission to the AMIDA 2013 challenge.


Currently, all members are based in Surrey:


The paper below shows the results of all methods submitted to the AMIDA 2013 challenge (including ours):

Mitko Veta, Paul J. van Diest, Stefan M. Willems, Haibo Wang, Anant Madabhushi, Angel Cruz-Roa, Fabio Gonzalez, Anders B. L. Larsen, Jacob S. Vestergaard, Anders B. Dahl, Dan C. Ciresan, Jurgen Schmidhuber, Alessandro Giusti, Luca M. Gambardella, F. Boray Tek, Thomas Walter, Ching-Wei Wang, Satoshi Kondo, Bogdan J. Matuszewski, Frederic Precioso, Violet Snell, Josef Kittler, Teofilo E. de Campos, Adnan M. Khan, Nasir M. Rajpoot, Evdokia Arkoumani, Miangela M. Lacle, Max A. Viergever, Josien P.W. Pluim
Assessment of algorithms for mitosis detection in breast cancer histopathology images
Accepted for publication in Medical Image Analysis, Springer, Elsevier, 2015.
Preprint available as a technical report at arXiv:1411.5825.


Last modified: Thu Aug 7 18:48:10 BST 2014