A token-efficient VLM with frozen encoder, two-layer MLP aligner, and LLM decoder generates case-level synoptic pathology reports from multi-WSI inputs using 5x magnification patches and two-stage supervised training.
https://reg2025.grand-challenge.org/ (2025), -MICCAI Registered Challenge
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Simple Token-Efficient Vision-Language Model for Case-level Pathology Synoptic Report Generation
A token-efficient VLM with frozen encoder, two-layer MLP aligner, and LLM decoder generates case-level synoptic pathology reports from multi-WSI inputs using 5x magnification patches and two-stage supervised training.