The goal of this challenge is to provide a dataset and an evolution platform to benchmark existing algorithms for lymphocyte detection in IHC stained specimens. The test set including 441 Region of Interests (ROIs) together with an automatic evaluation procedure is available for participants.
No training set is provided, participants should use their own data to develop a method.
Please reference the following paper if you use LYON19 data:
Swiderska-Chadaj, Zaneta, et al. "Learning to detect lymphocytes in immunohistochemistry with deep learning." Medical Image Analysis (2019): 101547.