Tianyi Chen

A report-grounded vision-language foundation model for colonoscopy from 280000 routine reports

EndoCLIP, a colonoscopy vision-language foundation model trained on 125,756 lesion-level image-text pairs progressively recovered from 280,476 routine colonoscopy records, is developed, suggesting that recovering finding-to-frame correspondence can transform routine documentation into scalable supervision, enabling cli...