2026
PERSONALIZED CELL SEGMENTATION: BENCHMARK AND FRAMEWORK FOR REFERENCE-GUIDED CELL TYPE SEGMENTATION
ICASSP 2026poster
Accurate cell segmentation is critical for biological and medical imaging studies. Although recent deep learning models have advanced this task, most methods are limited to generic cell segmentation, lacking the ability to differentiate specific cell types. In this work, we introduce the Personalize…