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FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling.
Yu Tian
Min Shi
Yan Luo
Ava Kouhana
Tobias Elze
Mengyu Wang
Published in:
ICLR (2024)
Keyphrases
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image processing
error bounds
medical image segmentation
denoising
theoretical analysis
image registration
partial differential equations
image analysis
probabilistic model
finite sample
prior knowledge
special case
graphical models
medical image analysis