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AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?
[article]
2021
arXiv
pre-print
With the unprecedented developments in deep learning, automatic segmentation of main abdominal organs seems to be a solved problem as state-of-the-art (SOTA) methods have achieved comparable results with inter-rater variability on many benchmark datasets. However, most of the existing abdominal datasets only contain single-center, single-phase, single-vendor, or single-disease cases, and it is unclear whether the excellent performance can generalize on diverse datasets. This paper presents a
arXiv:2010.14808v2
fatcat:hsfrknwdlffovdtqyuoi5cp24a