Mitosis Detection in Breast Cancer Histological Images

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

Mitosis Detection in Breast Cancer Histological Images (MITOS dataset)

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We propose a contest of mitosis detection in images of H&E stained slides of breast cancer. Mitotic count is an important parameter for the prognosis of breast cancer. However, mitosis detection is a challenging problem and has not been addressed well in the literature. Indeed, mitosis detection is very challenging since mitosis appear in image as small objects with a large variety of shapes, and they can thus be confused with some other objects or artefacts present in the image.

We add a further dimension to the contest by using two different slide scanners having different resolution to produce RGB images and a multi-spectral microscope producing images in 10 different spectral bands and 17 layers Z-stack.

Special Issue

The Journal of Pathology Informatics has published papers of four contestants in its Volume 4, Issue 1 on May 30th, 2013.

Journal of Pathology Informatics logo

Publications Related to the Contest


As of July 15th, 2012, there are 129 companies / research institutes / universities in 40 countries registered to the contest.

17 teams have sent their detection results.

New contest: MITOS & ATYPIA at ICPR 2014

We have launched an enhanced version of the contest entitled MITOS & ATYPIA to be hosted by conference ICPR 2014.

Highlights of this new contest:

Contest AMIDA13 at MICCAI 2013

AMIDA13 is another contest on mitosis detection that was held during MICCAI 2013 conference.


Metin N. Gurcan, Laura E. Boucheron, Ali Can, Anant Madabhushi, Nasir M. Rajpoot, and Bulent Yener, "Histopathological Image Analysis: A Review", IEEE Reviews in Biomedical Engineering, vol. 2, pp 147-171, 2009.

"Breast Cancer Grading Poster", NHS Cancer Screening Programmes and The Royal College of Pathologists, 2005 (PDF file size: 1.3 MB).

"Pathology Reporting of Breast Disease", NHS Cancer Screening Programmes and The Royal College of Pathologists, 2005 (PDF file size: 3.1 MB).

Elston, C.W. and Ellis, I.O., "Pathological prognostic factors in breast cancer. I. The value of histological grade in breast cancer: Experience from a large study with long-term follow-up", Histopathology, vol. 19, pp 403-410, 1991.


French National Research Agency logo This contest is supported by the French National Research Agency ANR, project MICO under reference ANR-10-TECS-015.