Progressive 3d biomedical image registration network based on deep self-calibration

HIGHLIGHTS

  • who: Jun Wu from the Shanghai University, China have published the research: Progressive 3D biomedical image registration network based on deep self-calibration, in the Journal: (JOURNAL)
  • what: The authors aim to leverage the progressive registration idea of cascaded networks to deal with large deformations without causing information loss and increasing network parameters. Specifically, the authors propose a progressive registration network based on a deep self-calibration strategy. The authors propose a novel progressive registration strategy to reduce the cascaded information loss, in which an iterative registration strategy is implemented to decompose large deformation into . . .

     

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