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UniCell: Universal Cell Nucleus Classification via Prompt Learning
Feb. 21, 2024, 5:46 a.m. | Junjia Huang, Haofeng Li, Xiang Wan, Guanbin Li
cs.CV updates on arXiv.org arxiv.org
Abstract: The recognition of multi-class cell nuclei can significantly facilitate the process of histopathological diagnosis. Numerous pathological datasets are currently available, but their annotations are inconsistent. Most existing methods require individual training on each dataset to deduce the relevant labels and lack the use of common knowledge across datasets, consequently restricting the quality of recognition. In this paper, we propose a universal cell nucleus classification framework (UniCell), which employs a novel prompt learning mechanism to uniformly …
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