Article

Two-Stage Synthetic-to-Real Transfer Learning for Automated Mammography Report Generation Using Vision-Language Models

2026-07-20

Abstract excerpt

<title>Abstract</title> <p>Automated mammography report generation is critically constrained by the scarcity of publicly available paired mammogramreport datasets. While structured annotations exist in datasets such as VinDr-Mammo and CBIS-DDSM, the free-text radiologyreports required for supervised vision-language model (VLM) training are absent from nearly all public mammography resources.In this work, we propo...

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Literature Corpus work: a019b298-0fd5-5f60-abad-c13be207055f
DOI: 10.21203/rs.3.rs-9656604/v1

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