Abstract: Nuclear instance segmentation has played a critical role in pathology image analysis. The main challenges arise from the difficulty in accurately segmenting densely over-lapping instances ...

Abstract: Multi-instance learning uses a set of bags containing many instances, which makes it different from standard propositional classification. Our research shows that, similar to the ...