Literature Digest | Multi-Scale and Context-Aware Prompt Tuning (MSCPT) Helps Learn Key Contextual Information in WSIs

Minghao Han et al. from Fudan University proposed Multi-Scale and Context-Aware Prompt Tuning (MSCPT), which uses large language models to generate multi-scale pathology visual descriptions to guide hierarchical prompt tuning, and designs a graph prompt tuning module to learn key contextual information in WSIs, addressing the failure of existing methods to fully exploit VLM textual prior knowledge and their neglect of key multi-scale and contextual...

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