Generalized Organ Segmentation by Imitating One-shot Reasoning using Anatomical Correlation

@article{Zhou2021GeneralizedOS,
  title={Generalized Organ Segmentation by Imitating One-shot Reasoning using Anatomical Correlation},
  author={Hong-Yu Zhou and Hualuo Liu and Shilei Cao and Dong Wei and Chi-Ken Lu and Yizhou Yu and Kai Ma and Yefeng Zheng},
  journal={ArXiv},
  year={2021},
  volume={abs/2103.16344}
}
Learning by imitation is one of the most significant abilities of human beings and plays a vital role in human’s computational neural system. In medical image analysis, given several exemplars (anchors), experienced radiologist has the ability to delineate unfamiliar organs by imitating the reasoning process learned from existing types of organs. Inspired by this observation, we propose OrganNet which learns a generalized organ concept from a set of annotated organ classes and then transfer… 
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