MA-Shape: Modality Adaptation Shape Regression for Left Ventricle Segmentation on Mixed MR and CT Images

@article{Cong2019MAShapeMA,
  title={MA-Shape: Modality Adaptation Shape Regression for Left Ventricle Segmentation on Mixed MR and CT Images},
  author={Jinyu Cong and Yuanjie Zheng and Wufeng Xue and Bofeng Cao and Shuo Li},
  journal={IEEE Access},
  year={2019},
  volume={7},
  pages={16584-16593}
}
  • Jinyu Cong, Yuanjie Zheng, +2 authors Shuo Li
  • Published in IEEE Access 2019
  • Computer Science
  • Left ventricle (LV) segmentation is essential to clinical quantification and diagnosis of cardiac images. While most existing LV segmentation methods focus on cardiac images of single modality or multi-modality, few have been devoted to images of mixed-modality. By Mixed-Modality, we mean that different modalities exist in the database, while for every subject, there is only one modality. In this paper, we propose a newly invented LV segmentation method from mixed-modality images: modality… CONTINUE READING

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