Article

SlideFlame: A data-efficient vision-language model for anatomically grounded pathology reporting

2026-06-11

Abstract excerpt

<title>Abstract</title> <p>Pathology assessment is central to cancer diagnosis: a pathologist examines a whole-slide image and writes a report describing what they see. It remains an open question whether AI can do this end to end. Whole-slide images (WSIs) are gigapixel-scale, requiring specialised vision-language models. Existing slide-level systems have largely been trained on proprietary data and evaluated in...

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Literature Corpus work: ea00355e-e4b4-5d3c-a241-1e5fb2838079
DOI: 10.21203/rs.3.rs-9625986/v1

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