ViLa-MIL: Enhancing Whole Slide Image Classification with Dual-Scale Vision-Language Multiple Instance Learning

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ViLa-MIL: Enhancing Whole Slide Image Classification with Dual-Scale Vision-Language Multiple Instance Learning

Whole Slide Image (WSI) classification in digital pathology presents several critical challenges due to the immense size and hierarchical nature of WSIs.  WSIs contain billions of pixels and hence direct observation is computationally infeasible. Current strategies based on multiple instance learning (MIL) are effective in performance but considerably dependent on large amounts of bag-level annotated data, whose acquisition is troublesome, parti…