MICCAI FLARE22 Challenge Dataset (50 Labeled Abdomen CT Scans)

This dataset was used as the labeled training set in MICCAI FLARE 2022 Challenge https://flare22.grand-challenge.org/. The CT images and pancreas annotations are from http://medicaldecathlon.com/ The other organ annotations are from AbdomenCT-1K (research purpose only). If this dataset is useful in your research, please give credit to the following two papers: A large annotated medical image dataset for the development and evaluation of segmentation algorithms https://arxiv.org/abs/1902.09063 AbdomenCT-1K: Is Abdominal Organ Segmentation a Solved Problem? https://ieeexplore.ieee.org/document/9497733

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	1
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average