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20242026
most citedEnhancing chest X-ray datasets with privacy-preserving large language models and multi-type annotations: a data-driven approach for improved classification

7 citations · 7 across the 5 of their papers we have counts for

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2 papers · 1 filter

cs.CV2025

Text Embedded Swin-UMamba for DeepLesion Segmentation

Ruida Cheng, Tejas Sudharshan Mathai, Pritam Mukherjee +5

Segmentation of lesions on CT enables automatic measurement for clinical assessment of chronic diseases (e.g., lymphoma). Integrating large language models (LLMs) into the lesion s…

eess.IV2025

LEAVS: An LLM-based Labeler for Abdominal CT Supervision

Ricardo Bigolin Lanfredi, Yan Zhuang, Mark Finkelstein +7

Extracting structured labels from radiology reports has been employed to create vision models to simultaneously detect several types of abnormalities. However, existing works focus…