Mitotic Figure Detection

Mitotic figure detection in histology images aims to automatically identify dividing cells, a crucial step in cancer diagnosis and prognosis. Current research focuses on improving the accuracy and robustness of deep learning models, often employing two-stage architectures combining fast candidate segmentation with refined classification, and incorporating domain generalization techniques to mitigate variations in image acquisition and staining. These advancements address the challenges of inter-observer variability and limited annotated data, ultimately improving the efficiency and standardization of mitotic figure counting for improved patient care and research.