Privacy-Preserving Federated Foundation Model for Generalist Ultrasound Artificial Intelligence

no code implementations • 25 Nov 2024 • Yuncheng Jiang, Chun-Mei Feng, Jinke Ren, Jun Wei, Zixun Zhang, Yiwen Hu, Yunbi Liu, Rui Sun, Xuemei Tang, Juan Du, Xiang Wan, Yong Xu, Bo Du, Xin Gao, Guangyu Wang, Shaohua Zhou, Shuguang Cui, Rick Siow Mong Goh, Yong liu, Zhen Li

Notably, UltraFedFM surpasses the diagnostic accuracy of mid-level ultrasonographers and matches the performance of expert-level sonographers in the joint diagnosis of 8 common systemic diseases.

Diagnostic Federated Learning +2

Less is More: Simultaneous View Classification and Landmark Detection for Abdominal Ultrasound Images

no code implementations • 25 May 2018 • Zhoubing Xu, Yuankai Huo, Jin-Hyeong Park, Bennett Landman, Andy Milkowski, Sasa Grbic, Shaohua Zhou

However, this is a challenging problem given not only the inherent difficulties from the ultrasound modality, e. g., low contrast and large variations, but also the heterogeneity across tasks, i. e., one classification task for all views, and then one landmark detection task for each relevant view.

Classification General Classification +1