Welcome to the contest page of HER2 scoring in breast cancer histology images. This challenge will be held in conjunction with Nottingham Pathology 2016 (The Pathological Society of Great Britain & Ireland).
The aim of this challenge is to accelerate the development of state-of-the-art algorithms for automated scoring of HER2 in whole-slide images of breast cancer histology slides. The task of automated HER2 scoring has a significant clinical utility by reducing the subjectivity in the process of cancer diagnostics, and is expected to reduce the pathologist workload. For this contest, we will provide a dataset of nearly 100 whole-slide images (of the order of 100,000 x 80,000 pixels) linked with the ground-truth data in HER2 score and a %age score given by pathologists.
How to participate?
The registration is now open, interested teams can get registered. Please read the contest rules and an introduction to HER2 scoring before registering. Upon completion of the registration process, access to training dataset will be granted. In case of any queries or comments regarding this contest, please feel free to contact us.
The contest dataset is available for post contest submissions (link).
Selected participating teams will be invited to contribute in a special issue of a well-reputed journal to publish their scientific approach for solving this problem.
Qaiser, T., Mukherjee, A., Munugoti, S.D., Tallam, V., Pitkäaho, T., Lehtimäki, T., Naughton, T., Berseth, M., Pedraza, A., Mukundan, R. and Smith, M.,.., Rajpoot, N., 2017. Her2 Challenge Contest: A Detailed Assessment of Automated Her2 Scoring Algorithms in Whole Slide Images of Breast Cancer Tissues. arXiv preprint arXiv:1705.08369.