FOCUS improves few-shot whole slide image classification by progressively removing redundant patches guided by pathology foundation model features and language prompts, then aggregating the surviving tokens with cross-modal attention.
Computing re- ceptive fields of convolutional neural networks
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FOCUS: Knowledge-enhanced Adaptive Visual Compression for Few-shot Whole Slide Image Classification
FOCUS improves few-shot whole slide image classification by progressively removing redundant patches guided by pathology foundation model features and language prompts, then aggregating the surviving tokens with cross-modal attention.