no code implementations • 8 Mar 2024 • Zikang Xu, Fenghe Tang, Quan Quan, Qingsong Yao, S. Kevin Zhou
Ensuring fairness in deep-learning-based segmentors is crucial for health equity.
no code implementations • 5 Dec 2023 • Zikang Xu, Fenghe Tang, Quan Quan, Jianrui Ding, Chunping Ning, S. Kevin Zhou
With the rapid expansion of machine learning and deep learning (DL), researchers are increasingly employing learning-based algorithms to alleviate diagnostic challenges across diverse medical tasks and applications.
1 code implementation • 16 Nov 2023 • Quan Quan, Fenghe Tang, Zikang Xu, Heqin Zhu, S. Kevin Zhou
To address these problems, we propose Slide-SAM, which treats a stack of three adjacent slices as a prediction window.
1 code implementation • 15 Mar 2023 • Zikang Xu, Shang Zhao, Quan Quan, Qingsong Yao, S. Kevin Zhou
Deep learning is becoming increasingly ubiquitous in medical research and applications while involving sensitive information and even critical diagnosis decisions.
no code implementations • 27 Sep 2022 • Zikang Xu, Jun Li, Qingsong Yao, Han Li, S. Kevin Zhou
Machine learning-enabled medical imaging analysis has become a vital part of the automatic diagnosis system.