most citedTPMIL: Trainable Prototype Enhanced Multiple Instance Learning for Whole Slide Image Classification

4 citations · 4 across the 1 of their papers we have counts for

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1 paper

cs.CV2023★ 4 cited

TPMIL: Trainable Prototype Enhanced Multiple Instance Learning for Whole Slide Image Classification

Litao Yang, Deval Mehta, Sidong Liu +3

Digital pathology based on whole slide images (WSIs) plays a key role in cancer diagnosis and clinical practice. Due to the high resolution of the WSI and the unavailability of pat…