HEROHE - Grand Challenge

Unlike previous Challenges that evaluated the staining patterns present in IHC, this Grand Challenge new edition proposes to find an image analysis algorithm to identify with high sensitivity and specificity HER2 positive BC from HER2 negative BC specimens evaluating only the morphological features present on the hematoxylin and eosin (HE) slide. The team as a whole has experience in machine learning and computer vision, has medical expertise, and has experience in organizing previous challenges. For questions related to the Grand Challenge, please contact Eduardo Conde-Sousa (econdesousa@gmail.com). This challenge is held as part of the European Congress on Digital Pathology. Please read the Rules section.