Mitosis Detection in Breast Cancer Histological Images

IPAL UMI CNRS — TRIBVN — Pitié-Salpêtrière Hospital — The Ohio State University

Results of the Contest

17 teams have submitted results to the contest.

ALBERTA Department of Electrical and Computer Engineering
University of Alberta
Edmonton, Canada
BII BioInformatics Institute Singapore
DEFINIENS Definiens AG Munich, Germany
DREXEL Center for Integrated Bioinformatics
Drexel University
Philadelphia, USA
ETH-HEIDELBERG Institute for Biochemistry, ETH Zürich
HCI Heidelberg
IDSIA IDSIA (Dalle Molle Institute for Artificial Intelligence)
Lugano, Switzerland
IITG Indian Institute of Technolgy, Guwahati India
IPAL IPAL, Joseph Fourier University Grenoble, France
ISIK Computer Engineering Department, Işik University Istanbul, Turkey
LNM-IIT LNM Institute of Information Technology Jaipur, India
NEC Department of Machine Learning
NEC America Laboratories
Princeton, USA
NUS National University of Singapore Singapore
OKAN-IRISA-LIAMA Okan University
IRISA, University of South Brittany
Istanbul, Turkey
Vannes, France
Beijing, China
QATAR Qatar University Qatar
SUTECH Shiraz University of Technology Shiraz, Iran
UTRECHT Image Sciences Institute - Department of Pathology
University Medical Center
Utrecht, The Netherlands
WARWICK University of Warwick
University Hospitals Coventry & Warwickshire

Ranking for Aperio images

Ranking for Aperio images

F-measure, recall and precision for Aperio images

Ranking for Hamamatsu images

Ranking for Hamamatsu images

F-measure, recall and precision for Hamamatsu images

Ranking for Multispectral images

Ranking for multispectral images

F-measure, recall and precision for multispectral images

Rank F-measure Recall Precision Authors
1 0.7742



Ardhendu Shekhar Tripathi, Atin Mathur, Mohit Daga, Manohar Kuse, Oscar C. Au, "2-SiMDoM: A 2-Sieve Model for Detection of Mitosis in Multispectral Breast Cancer Imagery", Proceedings of IEEE ICIP, Melbourne, Australia, September 2013.