AI/LLM radiology data annotation and segmentation (dataset curation and quality-controlled labeling)
Performed radiology data annotation and segmentation work for AI/LLM initiatives, including dataset curation and quality-controlled labeling. Worked with radiology study inputs to prepare labeled datasets suitable for downstream model development and evaluation. Collaborated within clinical and research settings to ensure labeling utility for AI-driven radiology tasks. • Segmentation-focused labeling of radiology imaging data • Dataset curation and quality-controlled annotation • Support for AI/LLM dataset preparation • Quality assurance checks to maintain label consistency