SLICEChat: Progressive In-Encoder Token Pruning for Whole-Slide Pathology Language Models
SLICEChat is introduced, a slide-level MLLM that integrates progressive token pruning within a hybrid Mamba--Transformer slide encoder, which demonstrates accurate and computationally efficient multimodal reasoning over gigapixel WSIs.
Ali Kerem Bozkurt, Baris Cem Bakay, Ibrahim Kulac et al.
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