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cs.CV2024
UniCell: Universal Cell Nucleus Classification via Prompt Learning
Junjia Huang, Haofeng Li, Xiang Wan +1
The recognition of multi-class cell nuclei can significantly facilitate the process of histopathological diagnosis. Numerous pathological datasets are currently available, but thei…
cs.CV2023
Prompt-based Grouping Transformer for Nucleus Detection and Classification
Junjia Huang, Haofeng Li, Weijun Sun +2
Automatic nuclei detection and classification can produce effective information for disease diagnosis. Most existing methods classify nuclei independently or do not make full use o…
cs.CV2023★ 2 cited
Affine-Consistent Transformer for Multi-Class Cell Nuclei Detection
Junjia Huang, Haofeng Li, Xiang Wan +1
Multi-class cell nuclei detection is a fundamental prerequisite in the diagnosis of histopathology. It is critical to efficiently locate and identify cells with diverse morphology…