Workshop program and location

The challenge workshop will be held on September 22nd as part of MICCAI 2013 in Nagoya, Japan.

You can download a PDF of the program here.

09.00 – 09.15 Opening
09.15 – 09.30 Satoshi Kondo, Panasonic Healthcare
Title: Automatic Mitosis Detection from Breast Cancer Histopathology Using  Multi-channel Features with Random Forests
09.30 – 09.45 Ching-Wei Wang, National Taiwan University of Science and Technology, Graduate Institute of Biomedical Engineering
Title: Diverse Cascade CW-BOOST Learning for Mitosis Detection
09.45 – 10.00 Angel Alfonso Cruz Roa, CCIPD at Case Western Reserve University and MindLab at National University of Colombia
Title: Mitosis Detection by Combining CNN and Hand-crafted Features
10.00 – 10.15 Coffee break
10.15 – 10.30 Bogdan Matuszewski, University Nice - Sophia Antipolis and University of Central Lancashire
Title: Mitosis Detection with Random Forests
10.30 – 10.45 Dan C. Cireșan, IDSIA, Dalle Molle Institute for Artificial Intelligence, USI-SUPSI, Lugano, Switzerland
Title: Mitosis Detection in Breast Cancer Histology Images with Multi Column Deep Neural Networks
10.45 – 11.00 H. Martin Kjer, Technical University of Denmark
Title: Shape Index Histograms with Donut-like Spatial Pooling
11.00 – 11.15 Violet Snell, Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey, UK and Sheffield Institute for Translational Neuroscience, Sheffield University, UK
11.15 – 11.30 Break
11.30 – 12.00 Presentation of overall results and discussion

Presentation guidelines

The presentations should last approximately 15 minutes in total - 10-12 minutes for the presentation and the remaining time for questions from the audience. The dataset will be described in the opening presentation by the organizers, so you do not have to include this part in your presentations. Please follow the same guidelines for the presentation as for the abstract as described on the Evaluation page.


The location of the challenge workshop is in the ES building of the Nagoya University Campus.