1 citations · 1 across the 5 of their papers we have counts for
5 papers
MammoExpert: Benchmarking Chain-of-Thought Reasoning in Mammography Diagnosis
Di Dai, Bo Liu, Youcheng Li +9
Mammography is an essential tool for breast cancer detection, with millions of examinations conducted annually. However, publicly available high-quality mammography datasets for AI…
A Chain-of-thought Reasoning Breast Ultrasound Dataset Covering All Histopathology Categories
Haojun Yu, Youcheng Li, Zihan Niu +19
Breast ultrasound (BUS) is an essential tool for diagnosing breast lesions, with millions of examinations per year. However, publicly available high-quality BUS benchmarks for AI d…
A Foundational Generative Model for Breast Ultrasound Image Analysis
Haojun Yu, Youcheng Li, Nan Zhang +20
Foundational models have emerged as powerful tools for addressing various tasks in clinical settings. However, their potential development to breast ultrasound analysis remains unt…
Knowledge-driven AI-generated data for accurate and interpretable breast ultrasound diagnoses
Haojun Yu, Youcheng Li, Nan Zhang +17
Data-driven deep learning models have shown great capabilities to assist radiologists in breast ultrasound (US) diagnoses. However, their effectiveness is limited by the long-tail…
Mining Negative Temporal Contexts For False Positive Suppression In Real-Time Ultrasound Lesion Detection
Haojun Yu, Youcheng Li, QuanLin Wu +4
During ultrasonic scanning processes, real-time lesion detection can assist radiologists in accurate cancer diagnosis. However, this essential task remains challenging and underexp…