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.
Journal of Pathology Informat- ics15, 100357 (2024)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.