Search Results for author: Zikang Xu

Found 4 papers, 2 papers with code

Inspecting Model Fairness in Ultrasound Segmentation Tasks

no code implementations5 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.

Fairness Segmentation

Slide-SAM: Medical SAM Meets Sliding Window

1 code implementation16 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.

Anatomy Image Segmentation +3

FairAdaBN: Mitigating unfairness with adaptive batch normalization and its application to dermatological disease classification

1 code implementation15 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.

Attribute Fairness

Fairness in Medical Image Analysis and Healthcare: A Literature Survey

no code implementations27 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.

Fairness object-detection +1

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