• Corpus ID: 247997013

WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image

@inproceedings{Luo2021WORDAL,
  title={WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image},
  author={Xiangde Luo and Wenjun Liao and Jianghong Xiao and Tao Song and Xiaofan Zhang and Kang Li and Dimitris N. Metaxas and Guotai Wang and Shaoting Zhang},
  year={2021}
}
D ataset ( WORD ) for algorithm research and clinical application development. This dataset contains 150 abdominal CT volumes (30495 slices). Each volume has 16 organs with fine pixel-level annotations and scribble-based sparse annotations, which may be the largest dataset with whole abdominal organ annotation. Several state-of-the-art segmentation methods are evaluated on this dataset. And we also invited three experienced oncologists to revise the model predictions to measure the gap between… 

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