We are excited to welcome you to the 3rd MICCAI Digital Pathology Challenge on Mitotic Figure Detection (Mitosis Domain Generalization Challenge, MIDOG 2025)! This year, we continue our mission to advance the field of computational pathology by tackling one of the most challenging problems in deep learning for histopathology: the robust and generalizable detection of mitotic figures.
Building on the success of previous editions, MIDOG 2025 introduces new complexities and real-world challenges, pushing the boundaries of domain adaptation, generalization, and AI-assisted diagnostics. Whether you’re a researcher, a data scientist, or a student, this challenge provides a unique opportunity to develop and test state-of-the-art models on a diverse, carefully curated dataset.
Join us in shaping the future of AI in pathology! Explore the challenge details, access the dataset, and put your skills to the test. We look forward to your innovative solutions!
🚀 Are you ready to take on MIDOG 2025?
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