Robust Brain Magnetic Resonance Image Segmentation for Hydrocephalus Patients: Hard and Soft Attention

@article{Ren2020RobustBM,
  title={Robust Brain Magnetic Resonance Image Segmentation for Hydrocephalus Patients: Hard and Soft Attention},
  author={Xuhua Ren and Jiayu Huo and Kai Xuan and Dongming Wei and Lichi Zhang and Qian Wang},
  journal={2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)},
  year={2020},
  pages={385-389}
}
  • Xuhua RenJiayu Huo Qian Wang
  • Published 12 January 2020
  • Computer Science
  • 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)
Brain magnetic resonance (MR) segmentation for hydrocephalus patients is considered as a challenging work. Encoding the variation of the brain anatomical structures from different individuals cannot be easily achieved. The task becomes even more difficult especially when the image data from hydrocephalus patients are considered, which often have large deformations and differ significantly from the normal subjects. Here, we propose a novel strategy with hard and soft attention modules to solve… 

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