An Empirical Study on the Fairness of Foundation Models for Multi-Organ Image Segmentation
Q Li, Y Zhang, Y Li, J Lyu, M Liu, L Sun, M Sun… - … Conference on Medical …, 2024 - Springer
The segmentation foundation model, eg, Segment Anything Model (SAM), has attracted
increasing interest in the medical image community. Early pioneering studies primarily …
increasing interest in the medical image community. Early pioneering studies primarily …
Fairness in artificial intelligence‐driven multi‐organ image segmentation
Q Li, Y Zhang, L Sun, M Sun, M Liu, Z Wang… - …, 2024 - Wiley Online Library
Fairness is an emerging consideration when assessing the segmentation performance of
machine learning models across various demographic groups. During clinical decision …
machine learning models across various demographic groups. During clinical decision …
Advancing Fair and Data-Efficient Deep Learning Models for Computer Vision
MM Afzal - 2024 - search.proquest.com
In recent years, deep learning and computer vision have driven significant advancements in
visual recognition tasks. However, these models often overlook a critical aspect: fairness …
visual recognition tasks. However, these models often overlook a critical aspect: fairness …
Towards Responsible AI: Safeguarding Privacy, Integrity, and Fairness
MS Mirza - 2024 - search.proquest.com
The widespread adoption of machine learning models into digital platforms, spanning
general-purpose applications such as chatbots, professional tools like code generation, and …
general-purpose applications such as chatbots, professional tools like code generation, and …