Mitosis Domain Generalization

Mitosis domain generalization focuses on developing robust deep learning models for automatically detecting mitotic figures in histopathology images, a crucial task for cancer diagnosis and prognosis. Current research emphasizes improving the generalizability of these models across diverse datasets, encompassing variations in tumor types, scanners, and even species, often employing convolutional neural networks (CNNs) and incorporating vision-language models to leverage both visual and textual information. Success in this area would significantly reduce inter-observer variability in mitotic counts, leading to more consistent and reliable cancer assessments and potentially improving patient care.