3 papers
cs.HC2026
EndoExtract: Co-Designing Structured Text Extraction from Endometriosis Ultrasound Reports
Haiyi Li, Yiyang Zhao, Yutong Li +5
Endometriosis ultrasound reports are often unstructured free-text documents that require manual abstraction for downstream tasks such as analytics, machine learning model training,…
cs.HC2026
Who Fails Where? LLM and Human Error Patterns in Endometriosis Ultrasound Report Extraction
Haiyi Li, Yutong Li, Yiheng Chi +7
In this study, we evaluate a locally-deployed large-language model (LLM) to convert unstructured endometriosis transvaginal ultrasound (eTVUS) scan reports into structured data for…
cs.CV2026
VISTA-PATH: An interactive foundation model for pathology image segmentation and quantitative analysis in computational pathology
Peixian Liang, Songhao Li, Shunsuke Koga +5
Accurate semantic segmentation for histopathology image is crucial for quantitative tissue analysis and downstream clinical modeling. Recent segmentation foundation models have imp…