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Found 5 papers, 2 papers with code
APPLE: Adversarial Privacy-aware Perturbations on Latent Embedding for Unfairness Mitigation
Ensuring fairness in deep-learning-based segmentors is crucial for health equity.
Inspecting Model Fairness in Ultrasound Segmentation Tasks
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.
Slide-SAM: Medical SAM Meets Sliding Window
To address these problems, we propose Slide-SAM, which treats a stack of three adjacent slices as a prediction window.
FairAdaBN: Mitigating unfairness with adaptive batch normalization and its application to dermatological disease classification
Deep learning is becoming increasingly ubiquitous in medical research and applications while involving sensitive information and even critical diagnosis decisions.
Fairness in Medical Image Analysis and Healthcare: A Literature Survey
Machine learning-enabled medical imaging analysis has become a vital part of the automatic diagnosis system.
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