Peter J. Schüffler

An end-to-end-trained vision-language model for native-language prostate pathology report generation

This work presents a slide-level framework generating prostate biopsy reports that is language-independent by construction: tokenizer and model are trained from scratch, and institutions can thus train native-language reporting models on their own archives.